Lynx Recruitment is supporting a leading organisation within financial services searching for a Data Engineer to design and build scalable, cloud-first data platforms that drive innovation and data-led decision-making.

You will work across the full data life cycle - engineering secure, high-performance pipelines and modern data platforms that enable analytics, AI, and enterprise insights.

Key Responsibilities

• Build and optimise ETL/ELT pipelines
• Design and manage data warehouses, lakes, and cloud-native platforms
• Implement monitoring, governance, security, and regulatory compliance frameworks
• Deliver high-quality datasets to analytics and business teams
• Support AI and advanced analytics initiatives

Requirements

• Degree in IT, Computer Science, Software Engineering, or related field (minimum 2:1 classification)
• Strong SQL & Python
• Hands-on ETL/ELT experience (eg, Matillion, Talend, Fivetran, ADF)
• Experience with Snowflake (AWS/Azure/GCP beneficial)
• Strong data modelling knowledge
• Understanding of data governance and security best practices
• Ability to translate business needs into scalable solutions

Desirable

Airflow, dbt, Kafka, CI/CD, BI tools, governance platforms, financial services experience.

Interested in building modern, enterprise-scale data platforms in a highly regulated environment? Apply now!

Job Title:Principal Data Scientist

Salary:£74,200 - £99,250

Location:Cambridge/Hybrid with 2 day per week at the office

Contract:Permanent

Hours:Full time 35 hours per week

Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation leading our data science capability for AI-enabled assessment products used by millions of learners globally.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

This is a senior, influentialrole where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions.

About the role

As PrincipalData Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC’s data capability across Exam Technology and the wider organisation.

Youwill:

• Set the direction for data science and analytics supporting automarking and AI-driven assessment
• Lead and grow a small, high-impact team of data scientists and engineers
• Curate high-quality data products used across research, machine learning and product teams
• Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight
• Ensure sensitive exam and candidate data is handled responsibly and ethically

Additional responsibilities and accountabilities include:

• Lead data science, data engineering and analytics activities within ARC
• Define and own the data strategy for automarking and related AI capabilities
• Design and oversee data warehouses, pipelines and integrations with the wider organisation
• Translate complex business and research needs into robust data solutions
• Provide expert input into product, research and architectural decisions, up to board level
• Build strong relationships with internal teams and external research partners
• Champion best practice in data quality, DataOps and analytics engineering

This position has been classified as a hybridrole, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should yourequireadjustments due to a disability or long-term health condition.

About You

To be successful in this role, you will bring:

• Extensive experience in data science, analytics or analytics engineering in a complex environment
• Advanced SQL skills, including writing, analysing and optimising large analytical queries
• Strong experience with a data science programming language such as Python, R or Julia
• Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh
• Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI
• A strong understanding of data warehousing principles (e.g. Kimball methodology)
• Experience designing data models that enable self-service analytics
• Proven ability to translate business or research questions into data-driven insights
• Experience communicating complex technical concepts to non-technical and senior audiences
• Leadership experience, including mentoring and guiding other data professionals

If you meet theaboveminimumrequirements, we encourage you to apply. Your application will be even stronger if you can alsodemonstratethefollowingdesirablecriteria:

• Machine learning or AI product experience
• Exposure to automarking, assessment, or high-stakes data environments
• Skills in experimentation and statistical analysis (A/B testing, forecasting)
• Familiarity with DataOps (CI/CD, testing, orchestration, observability)

For a detailed job description, please refer to the linkat the bottom of the advert on our careers site.

We are aDisability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme’sOffer of an Interviewcommitment applies toapplicants who opt in, anddisclosea disability or a long-term health condition, and best meet theminimumcriteria for the role. In instances where interviewing all qualifying candidates is notpracticable, we prioritise those who best meet theminimumcriteria, as we would for applicants who do not have a disability or long-term health condition.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to thegov.ukwebsite for guidance to understand your own eligibility based on the role you are applying for.

Rewards and benefits

Wewill support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexiblerewards package, featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

Ready to pursue your potential? Apply now.

We aim tosupport candidates by making our interview process clear and transparent. The closing date for all applications will be13thMarchWe will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes.

As part of theapplication process, you can expect:

At application stage: four technical questions to answer when submitting your CV.

Stage 1: 30-minute screening call with the hiring manager.

Stage 2: 60-minute session includes questions about key skills as well as a code review or whiteboard exercise.

Stage 3: 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed.

Stage 4: Leadership and cultural 45-minute interview.

If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.

Please notethat successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

We arecommitted toan equitablerecruitment process. As such, applications must besubmittedvia our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or requireadditionalsupport withsubmittingyour online application, contact the Recruiter.

Why join us

Joining us isyour opportunity to pursue potential.You willbelong to a collaborative teamthat isexploring new and better ways to serve students,teachersand researchers across the globe for the benefit of individuals,societyand the world. Sharing our mission will inspire your own growth,developmentand progress, in an environment which embraces difference, change and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, whereit issafe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, genderidentityand sexual identity), cultural, or social class/background.

We believe better outcomes come throughdiversity of thought,backgroundand approach. We welcome applications from people from all backgrounds and communities, activelyseekingto employ people from a wide range of different communities.

Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.

Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London

What you’ll achieve
As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services.

You will:
•Build and lead relationships for highly sophisticated customer accounts
•Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope
•Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities
•Verify operability of sophisticated product and service configurations within the customer’s environment
• Perform advanced systems integration and provide technical expertise to design and implement the solution

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Technical Skills

Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).

Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).

Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats

Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).

Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.

Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.

Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).

Analytics, BI, and data science

Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.

Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.

Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).

Consulting Skills

Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.

Can translate ambiguous business problems into clear data and analytics use cases.

Storytelling & communication

Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.

Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).

Demo & POC excellence

Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.

Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.

Competitive positioning

Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.

5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.

Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:

Cloud data warehouse or lakehouse migrations

Enterprise BI modernization/self-service analytics

GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications

Real-time or streaming analytics

Advanced analytics / data science enablement

Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse)

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Job ID:R285938

The Department for Business and Trade (DBT) has a clear mission - to grow the UK economy. The Digital, Data and Technology (DDaT) directorate develops and operates tools and services to support us in this mission and is seeking a Platform Test Lead experienced in test automation (PaaS/SaaS), coding (Python or Java), test frameworks & BDD (e.g. Gherkin/Cucumber), CI/CD pipelines, containerisation (Docker/Kubernetes), cloud platforms (AWS preferred), and infrastructure-as-code (e.g. Terraform). London £65,826 to £81,674, National £62,103 to £78,054 plus £17,991 annual pension contribution. 40% to 60% hybrid working.

As Platform Test Lead, you will play a critical role in ensuring the DBT Platform is robust, secure, and scalable by embedding quality assurance into its design and delivery. You’ll lead the development of platform-wide test strategies, support automated testing across infrastructure and services, and collaborate with technical leaders to drive continuous improvement. This role supports DBT’s digital transformation goals and contributes to the strategic evolution of the platform.

Role Overview of the Platform Test Lead:

This is a technical and strategically critical role within our Technology portfolio at DBT, overseeing a platform that supports internal and external services. You will lead the evolution of the DBT Platform’s testing strategy, ensuring it is robust, secure, scalable and efficient. You will work closely with platform engineers, technical architects, cyber security and service teams to embed quality assurance into the platform’s design and delivery.

You will play a key role in shaping how we test and assure platform capabilities, bringing your experience of test automation, infrastructure testing and DevOps practices. You’ll work across DDaT to understand future needs and help teams validate and deliver against them. You’ll also contribute to platform governance and technical decision-making, ensuring testing supports strategic goals.

This is a technical leadership role requiring experience with cloud-hosted platforms. The successful candidate will be well-versed in implementing and optimising automated testing, deployment pipelines, and performance metrics like DORA. You will have an understanding of emerging technologies, enabling you to guide innovation and resilience across the platform.

You must have a proven track record of leading test engineering for large-scale platform operations or infrastructure products, ensuring stability, scalability and strategic alignment with organisational goals.

Main responsibilities for the Platfrom Test Lead:

• Lead the design, implementation, and continuous improvement of automated test frameworks for platform components and services.
• Define and own platform-level test strategies, including integration, performance, security, and end-to-end testing across multi-account environments.
• Collaborate with Platform Engineers, Technical Architects, and Cyber SMEs to ensure testing supports platform priorities.
• Drive improvements in deployment testing, enabling faster, more reliable releases with reduced support burden.
• Support FinOps and observability initiatives by ensuring test coverage includes cost-impacting behaviours and performance metrics.
• Champion testability in platform design, simplifying environment setup and enabling self-service testing for service teams.
• Coach and mentor engineers in test automation, quality assurance, and continuous delivery practices.
• Monitor test suite health, reduce technical debt, and ensure test infrastructure is scalable and cost-effective.

Essential Skills:

• Proven experience in test automation for infrastructure and platform engineering, including maturing PaaS/SaaS products.
• Strong coding skills (Python or Java), with experience building reusable test frameworks, utilities, and using BDD approaches (e.g. Gherkin/Cucumber) for collaborative testing.
• Hands-on experience with CI/CD pipelines, containerisation (Docker/Kubernetes), cloud platforms (AWS preferred), and infrastructure-as-code (e.g. Terraform).
• Familiarity with observability and performance testing tools (Datadog, ELK, Grafana, Locust, JMeter), plus an understanding of cyber security testing principles and logging requirements.
• Ability to coach multidisciplinary teams, embed quality practices in agile delivery, and apply FinOps-aware testing approaches (e.g. cost-impact validation, resource optimisation).

It is desirable that you have:

• Knowledge of platform engineering patterns (g. sidecar architecture, secure base images, technical contracts).
• Familiarity with accessibility and security testing standards (g. OWASP, WCAG).

Benefits

Alongside your salary, DBT contributes £17,991 towards you being a member of the Civil Service Defined Benefit Pension scheme.

• Learning and development tailored to your role
• An environment with flexible working options
• A culture encouraging inclusion and diversity
• Civil Service Pension with an employer contribution of 28.97%

If you would like to find out more about the role, the Platform Engineering team and what it’s like to work at DBT, we are holding a Hiring Manager Q&A session for this role where you can virtually ‘meet the team’ on Wednesday 25th February at 12.30pm. Follow the Apply button to book your spot on the advertisers site.

Job Title:Principal Data Scientist

Salary: £74,200 - £99,250

Location: Cambridge/Hybrid with 2 day per week at the office

Contract: Permanent

Hours: Full time 35 hours per week

Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions.

About the role

As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC’s data capability across Exam Technology and the wider organisation.

You will:

• Set the direction for data science and analytics supporting automarking and AI-driven assessment
• Lead and grow a small, high-impact team of data scientists and engineers
• Curate high-quality data products used across research, machine learning and product teams
• Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight
• Ensure sensitive exam and candidate data is handled responsibly and ethically

Additional responsibilities and accountabilities include:

• Lead data science, data engineering and analytics activities within ARC
• Define and own the data strategy for automarking and related AI capabilities
• Design and oversee data warehouses, pipelines and integrations with the wider organisation
• Translate complex business and research needs into robust data solutions
• Provide expert input into product, research and architectural decisions, up to board level
• Build strong relationships with internal teams and external research partners
• Champion best practice in data quality, DataOps and analytics engineering

This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.

About You

To be successful in this role, you will bring:

• Extensive experience in data science, analytics or analytics engineering in a complex environment
• Advanced SQL skills, including writing, analysing and optimising large analytical queries
• Strong experience with a data science programming language such as Python, R or Julia
• Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh
• Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI
• A strong understanding of data warehousing principles (e.g. Kimball methodology)
• Experience designing data models that enable self-service analytics
• Proven ability to translate business or research questions into data-driven insights
• Experience communicating complex technical concepts to non-technical and senior audiences
• Leadership experience, including mentoring and guiding other data professionals

If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria:

• Machine learning or AI product experience
• Exposure to automarking, assessment, or high-stakes data environments
• Skills in experimentation and statistical analysis (A/B testing, forecasting)
• Familiarity with DataOps (CI/CD, testing, orchestration, observability)

For a detailed job description, please refer to the link at the bottom of the advert on our careers site.

We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme’s Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

Ready to pursue your potential? Apply now.

We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13 th March We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes.

As part of the application process, you can expect:

At application stage: four technical questions to answer when submitting your CV.

Stage 1: 30-minute screening call with the hiring manager.

Stage 2: 60-minute session includes questions about key skills as well as a code review or whiteboard exercise.

Stage 3: 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed.

Stage 4: Leadership and cultural 45-minute interview.

If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.

Why join us

Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.

We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Documents

• Principal Data Scientist.pdf (400.92 KB)

Reporting To: Head of Analytics / Data Lead
Division: Data & Analytics
Location: UK - Remote first (office in Belfast optional)
Contract Type: Permanent
Salary: £50,000 - £60,000 GBP
Working Hours: Candidates should be able to work until 6:30-7:00 pm GMT to align with PST teams

Job Summary

We are seeking a Senior Analytics Engineer - a proactive, self-directed professional who goes beyond executing tickets. This is a hands-on role for someone who can analyse systems, identify issues, propose solutions, and help guide priorities across a complex data ecosystem.

Key Responsibilities

• Build clean, maintainable dbt models, and migrate custom SQL from Tableau into dbt pipelines.
• Structure data marts and help transition dashboards into robust, model-driven solutions.
• Handle complex, messy, or disparate data, reconciling inconsistencies across systems.
• Ensure reliability of reporting, KPIs, and downstream data outputs despite upstream variability.
• Collaborate closely with Revenue, RevOps, and other non-technical or semi-technical stakeholders.
• Participate in stakeholder interviews and contribute to prioritisation and translation of business needs into technical work.

Required Skills & Experience

• Deep dbt expertise, including model performance considerations and grain selection.
• Strong data modelling & architecture skills, able to navigate complex, tangled data environments.
• SQL mastery, able to complete complex transformations and pass technical assessments.
• Hands-on experience with Snowflake, Tableau (as a downstream consumer), Segment, Fivetran, and RDS.
• 7-10+ years in data-focused roles, comfortable operating in ambiguity and legacy systems.
• Excellent communication skills with technical and non-technical stakeholders.

Desirable / Nice-to-Have:

• Experience with dbt MetricFlow or semantic layer implementations.
• Background working in distributed, global teams (LATAM, US, UK).

Candidate Profile

• Pragmatic and self-directed, thrives in messy ecosystems without requiring a full architecture rebuild.
• Comfortable balancing short-term triage with longer-term strategic thinking.
• Able to work autonomously and proactively guide projects to resolution.

Benefits

• Private medical insurance
• Westfield Health Cash Plan
• Car salary sacrifice scheme
• Working from home allowance (£1,000 per year)
• Employer Pension contribution (4%)
• Pension salary sacrifice (from Jan 2026)
• Life Insurance
• Skills for Me allowance for personal development
• 33 days holiday (including bank holidays)
• 3 statutory days (New Year’s Day, Christmas Day, May Bank Holiday)

Hiring Process

HackerRank assessment (~90 minutes, to be completed within 48 hours).Technical interview.Standard recruitment process.

Skills:
Data Snowflake SQL Tableau DBT

Benefits:
Work From Home

Job description.
Senior Analytics Engineer (dbt / Snowflake)
Location: Belfast / hybrid / remote
Working Hours: Ability to work until 6:30pm-7:00pm GMT (PST alignment required)
Eligibility: UK right to work required (no sponsorship available)

We’re hiring a senior Analytics Engineer to play a key role in strengthening and scaling a modern data stack. This is a high ownership role for someone who goes beyond tickets - analysing systems, improving models, and helping shape priorities alongside Revenue stakeholders.

You’ll work in a fast-moving environment where reporting reliability and clean modelling really matter. If you enjoy turning complex data into clear, trusted outputs, this is worth a look.

Why join?
* Senior, high-impact role with real autonomy
* Strong focus on dbt modelling and analytics engineering best practice
* Direct collaboration with commercial stakeholders
* Distributed international team (US, LATAM, UK)

What you’ll be doing:
* Designing and maintaining high-quality dbt models
* Moving custom SQL logic from Tableau into structured, model-driven workflows
* Improving data marts and strengthening reporting foundations
* Ensuring KPI consistency and improving reporting reliability
* Translating business needs into scalable analytical solutions
* Contributing to clarity, prioritisation, and technical direction

What you’ll bring:
* Solid experience in analytics / data engineering
* Deep expertise in dbt (modelling, performance optimisation, grain selection)
* Strong SQL skills with confidence in complex transformations
* Experience with Snowflake
* Familiarity with Tableau as a downstream reporting layer
* Exposure to Segment, Fivetran, and RDS ingestion workflows
* Excellent communication skills and strong commercial awareness

Interested?
If you’re looking for a senior analytics role where your modelling decisions directly influence business outcomes, contact Justin Donaldson.

Skills:
SQl DBT Snowflake data engineering data visualisation

Belfast | Hybrid

MPA are partnering with an elite Canadian tech firm expanding into Belfast to hire a hands-on Engineering Manager to lead high-performing software teams delivering complex cloud and enterprise systems.

This is a player-coach role ideal for someone who enjoys developing engineers, driving delivery, and still contributing technically when needed.

The Role

Youll lead a team of backend and frontend engineers across active client projects, ensuring high-quality, scalable software delivery while fostering strong team culture and technical standards.

This is not a pure management role. Youll be expected to influence architecture, guide technical decisions, and stay close to the codebase.

Key Responsibilities

• Lead, mentor, and develop a team of software engineers
• Conduct 1:1s, performance reviews, and career development planning
• Drive technical direction across backend services and APIs
• Contribute hands-on to system design and key architectural decisions
• Collaborate with product and design to shape roadmaps and delivery plans
• Lead agile ceremonies and improve team delivery processes
• Ensure strong engineering standards across testing, CI/CD, and deployments

Required Experience

• 8+ years in software engineering, including 2+ years in a leadership or people management role
• Strong backend development experience (Java and/or Python, ideally Spring)
• Experience with modern frontend technologies (React, JavaScript)
• Strong understanding of REST APIs, scalable system design, and web architecture
• Experience with relational and non-relational databases
• Proven ability to lead projects end-to-end while maintaining team engagement and morale
• Strong communication and stakeholder management skills

Highly Desirable

• Experience in cloud-native or containerised environments
• Exposure to data tooling or workflow orchestration (e.g., Airflow, dbt)
• Experience scaling teams or improving engineering processes
• Experience mentoring early- to mid-career engineers

Why Consider This Role?

• Real ownership over both technical direction and team growth
• Influence hiring, architecture, and delivery standards
• Hybrid working model in Belfast
• High-autonomy, fast-paced engineering culture
• Competitive compensation and strong benefits

Skills:
Engineering Management Technical Engineering Software Engineering Management

Benefits:
Work From Home Work From Home hybrid Paid Holidays Performance Bonus wellness programme Laptop Pension Fund

Backend Software Engineer / Developer (TypeScript Node Data) Remote UK to £90k

Are you a data savvy Software Engineer with strong backend development experience using TypeScript and Node?

You could be progressing your career in a senior, hands-on Backend Software Engineer role at a scaling Fintech who have built an energy trading platform to revolutionise energy buying for large industrial and commercial users.

As a Backend Software Engineer you’ll help to build a seamless digital experience that makes complex energy systems simple, powerful and intuitive. You’ll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms.

There’s a collaborative team environment where you’ll input into technical discussions and decision making.

Location / WFH:

There’s a remote first policy so you can work from home on a full time basis, with the caveat that you’ll meet up with the team in London from time to time (approximately once a quarter, paid for).

Please note you must be UK based and have the right to work.

About you:

You have strong software engineering experience across the full development lifecycle

You have expertise with backend TypeScript, Node, Python and APIs

You have a good knowledge of AWS

You have experience with PostgreSQL, DBT and Amazon Redshift, and have had exposure to data pipelines, ETL, data modelling and LLMs

You have a good understanding of event driven systems

You’re comfortable working with complex, data rich environments and have previous experience within Fintech, Payments, eCommerce or similar with high throughput systems

You’re happy to do some brownfield, refactoring and maintenance work alongside new projects

You’re collaborative with great communication skills

What’s in it for you:

Salary to £90k

Remote working

Impactful role with complex challenges

Great career growth opportunities as the company scales

Apply now to find out more about this Backend Software Engineer / Developer (TypeScript Node Data) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

TPBN1_UKTJ

Your new company

An established and fast-growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high-speed fibre networks, the business is committed to delivering world-class broadband services to communities and supporting a data-driven future. You’ll be joining a forward-thinking environment that values innovation, collaboration, and continuous improvement.

Your new role

As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation’s enterprise data platform. Working within a specialist Data Analytics & AI team, you’ll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data-led decision-making across the business.You will translate data architecture strategies into high-quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well-structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you’ll work closely with analysts, data consumers, and business stakeholders, enabling them through well-designed data models and providing technical support where needed. You’ll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team.

What you’ll need to succeed

• Proven experience delivering cloud-based data engineering solutions, ideally centred around Snowflake
• Strong skills in SQL, Python, and dbt for data modelling and transformation
• Experience with Snowflake RBAC and performance optimisation
• Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar
• Understanding of cloud technologies (AWS preferred)
• Knowledge of data modelling, governance principles, and best-practice engineering standards
• Experience supporting BI/reporting tools such as Power BI
• Solid grounding in version-controlled development and CI/CD practices (git)

Desirable:

• Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call-centre data
• Experience in data platform migrations, data validation, and quality assurance
• Background in enabling business teams through training, documentation, or adoption support
• Familiarity with Terraform or Infrastructure-as-Code
• A mindset for continuous learning and staying up to date with modern data stack tooling

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Your new company An established and fast‑growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high‑speed fibre networks, the business is committed to delivering world‑class broadband services to communities and supporting a data‑driven future. You'll be joining a forward‑thinking environment that values innovation, collaboration, and continuous improvement. Your new role As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation's enterprise data platform. Working within a specialist Data Analytics & AI team, you'll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data‑led decision‑making across the business.You will translate data architecture strategies into high‑quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well‑structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you'll work closely with analysts, data consumers, and business stakeholders, enabling them through well‑designed data models and providing technical support where needed. You'll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team. What you'll need to succeed Proven experience delivering cloud‑based data engineering solutions, ideally centred around Snowflake Strong skills in SQL, Python, and dbt for data modelling and transformation Experience with Snowflake RBAC and performance optimisation Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar Understanding of cloud technologies (AWS preferred) Knowledge of data modelling, governance principles, and best‑practice engineering standards Experience supporting BI/reporting tools such as Power BI Solid grounding in version‑controlled development and CI/CD practices (git)Desirable: Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call‑centre data Experience in data platform migrations, data validation, and quality assurance Background in enabling business teams through training, documentation, or adoption support Familiarity with Terraform or Infrastructure‑as‑Code A mindset for continuous learning and staying up to date with modern data stack tooling What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Machine Learning Engineer (Python / MLE )

6 Month Contract

£650 - £750

Remote

Umbrella

Urgent Start

We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability and performance of their core data and Machine Learning systems.

If your background is diving into complex production codebases and possess excellent problem solving skills, this is the perfect opportunity. We need candidates ready to start by Mid to late November.

This is a deeply technical engineering role focused less on new feature development and more on reliability and fixes.

Key Skills:

Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment.

Extensive Python, NumPy and Pandas is required for this role.

You must demonstrate a deep commercial background in the following areas:

Extensive Python: Very strong, production-level Python coding and debugging skills.

Production Environment: Proven experience working directly with and troubleshooting issues in live production codebases (not just isolated development).

Cloud Experience: Solid experience with any major public cloud provider (GCP, AWS, or Azure).

Experience with BigQuery would be good.

Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting.

Direct experience with Google Cloud Platform, BigQuery, and associated tooling.

Experience with workflow tools like Airflow or Kubeflow.

Familiarity with dbt (Data Build Tool).

Please send your CV for more information on these roles.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

DevOps Engineer - Manchester - 2-3 days onsite Are you feeling stuck maintaining systems rather than improving them? Looking for a role where you can shape infrastructure, influence decisions, and work across modern cloud and data platforms? We're working with a growing technology company focused on delivering secure, scalable data solutions. As they expand, theyre building a dedicated DevOps capability to strengthen their platform and improve delivery speed, security, and stability. This is a great opportunity for someone who wants to work closely with developers and data engineers, contribute to infrastructure decisions, and build mature, automated systems. The Role As the DevOps Engineer, you'll take ownership of the infrastructure supporting a data-driven product. Your work will enable reliable deployments, support high availability, and allow the team to deliver features quickly and confidently. Responsibilities include: Managing Kubernetes clusters for production and staging environments Migrating infrastructure to an Infrastructure as Code setup using tools like Terraform Building and maintaining CI/CD pipelines to streamline deployments Supporting infrastructure for tools such as Airbyte, dbt, and Python-based data workflows Writing scripts in Python and Bash to automate operational tasks and monitor system health Technical Environment Docker, Kubernetes Terraform (or equivalent IaC tools) GitLab CI, GitHub Actions, Azure DevOps Python, Bash scripting Azure cloud services Familiarity with data tools like Airbyte, dbt, Snowflake connectors What Were Looking For Youre able to work independently and take ownership of your work You prioritise reliability, repeatability, and security in how systems are built Youre collaborative and comfortable working closely with developers and data engineers Why Join Be involved in shaping infrastructure and process as the team scales Work across both web and data platforms for broader technical exposure 2-3 days a week (Manchester or Cardiff) Join a team that values openness, flexibility, and professional development If you're looking for a role where you can have a real impact on how things are built and delivered, wed like to hear from you. TPBN1\_UKTJ

Your new company
This is a financial institution with an office based in the City of London.

Your new role
You will be migrating data from on prem onto Snowflake for a Greenfield project.

What you’ll need to succeed

Strong Python and SQL are crucial to this role
On-prem to Snowflake migration experience
Airflow and DBT experience
GitHub experience as you will be building CI/CD pipelines as part of this role
Any experience within post-trade, OTC, swaps will be extremely beneficial
What you’ll get in return
An exciting opportunity to join an international organisation in financial services. Furthermore, a competitive day rate for this role will be offered in addition to your own dedicated Hays Consultant to guide you through every step of the application process.

What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

I'm working with a world-class, product-led technology company in Edinburgh to help them find a Data Engineer to join their growing team (hybrid working, typically 1-2 days in the office). This is an opportunity to join a business operating at serious scale, building data systems that power products used by millions of customers. You'll be joining a high-performing data engineering team where data is central to how the organisation makes decisions. The team is responsible for building and maintaining both batch and streaming pipelines that support analytics, machine learning and key business reporting. It's a fully hands-on role in a modern, cloud-first environment, working on scalable, production-grade data solutions. As a Data Engineer, you'll design, develop and maintain reliable data pipelines and infrastructure, with a strong focus on data quality, performance and clean engineering standards. You'll collaborate closely with analysts, data scientists and fellow engineers to deliver high-quality, consumable datasets while contributing to best practices across the wider platform. You'll be working heavily with Python, SQL and Spark, using tools such as Databricks, Airflow, dbt and Kafka within AWS. Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing, dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical. Experience building robust pipelines, working with orchestration and monitoring tools, and contributing to well-tested, scalable data solutions will be highly valuable. The organisation has grown significantly over the past few years and continues to scale, meaning there is genuine scope for progression as the data function continues to expand. Their office is based in central Edinburgh and offers a great environment for collaboration when onsite. In return, they're offering a competitive salary and an excellent overall benefits package which includes a bonus and unlimited holidays. Hybrid working is standard (ideally 1-2 days in the office). If you're keen to join a fast-growing, data-driven organisation where you can work on systems operating at real scale, please apply or get in touch with Matthew MacAlpine at Cathcart Technology for a chat. Cathcart Technology is acting as an Employment Agency in relation to this vacancy

Your new company You will be working at the UK's largest public ultra‑rapid electric vehicle charging network, known for its reliability, simplicity, and customer‑first approach. Founded in 2016, the company operates high‑power DC chargers ranging from 50kW to 160kW, delivering fast, hassle‑free charging across convenient locations nationwide. The company continues to expand rapidly, with over (phone number removed) live chargers across the UK as of late 2024 and a growing presence in Europe, supported entirely by 100% renewable energy. With chargers positioned at popular retail and hospitality partners such as McDonald's, Costa Coffee and Bannatyne Health Club this company enables drivers to "recharge" themselves while charging their vehicles. Their focus on user convenience includes simple contactless payments, transparent pricing, and a reputation for industry‑leading reliability. Recognised as one of the most dependable networks in the UK, they continue to scale their infrastructure to meet growing EV demand, supporting the transition to cleaner, more sustainable transport nationwide. Your new role You'll work with the Senior Data Engineer and wider teams to maintain and improve InstaVolt's data warehouse and data pipelines. Your main focus will be integrating new data sources, building data models, fixing issues, and helping the team expand our data capabilities. This role is ideal for someone who enjoys problem‑solving, learning new tools, and working with data. Key responsibilities include - Keeping an eye on data systems & fixing issues when they arise. - Building, updating & maintaining data models using dbt core and vs code. - Reviewing new potential data sources. - Connecting new data sources to the internal data pipeline and data warehouse. What you'll need to succeed - Technical - Strong SQL skills - Experience using dbt - Ability to model business processes using SQL in dbt - Familiarity with Git and version control. - An understanding of cloud data warehouse concepts. - Basic knowledge of SOAP/REST API's, JSON and YAML. - Basic Python for API data retrieval and data movement. Soft skills - Have a logical and problem-solving mindset - Be comfortable working both independently and with other members of the business. - Have strong relationship building skills across teams. - Positive attitude and eagerness to grow your technical knowledge - High attention to detail What you'll get in return - Hybid working (3 days a week in the office). - Join a fast growing company - Competitive Salary - £55,000 - Expert training and development opportunities - Employees contribute directly to reducing carbon emissions and supporting environmentally friendly transportation. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Day rate: £500 - £550 Inside IR35 Location: London Key Responsibilities Design, build, and maintain scalable data pipelines, ETL processes, and data integrations. Develop and optimize data models, storage solutions, and analytics environments. Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products. Implement visualizations that make complex datasets understandable for technical and non-technical users. Work with cross-functional teams to translate product requirements into technical designs. Ensure data quality, governance, and best practices across systems. Contribute to the evolution of our design systems and front-end components for data tools. Required Skills & Experience Proven experience as a Data Engineer, BI Engineer, or similar role. Strong proficiency in SQL, Python, and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces. Experience with front-end technologies (e.g., React, Vue, or similar) is a plus. Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions)

Lancashire Permanent Hybrid
Competitive Salary

VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team.

Key Responsibilities:

• Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer.
• Own the full data product lifecycle, from initial design through to decommissioning.
• Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling.
• Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges.
• Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance.
• Produce clear, well-documented solutions for both technical and non-technical audiences.
• Support CI/CD, environment control (dev/test/prod), and effective change management practices.
• Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture.

Key Requirements:

• 5+ years experience as a Data Engineer with a strong focus on ETL / ELT.
• Advanced SQL and Python development skills.
• Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer).
• Proven experience working on cloud platforms ideally GCP (BigQuery), but Azure or AWS also considered.
• Strong understanding of Data Mesh, Test Driven Design, and Agile delivery.
• Experience with documentation, CI/CD pipelines, and multi-environment controls.
• Excellent communication skills and the ability to lead by example within engineering teams.
• Experience supporting mergers, integrations, or large-scale organisational change is highly desirable.

Senior Data Engineer
London Permanent Hybrid
Competitive Salary

Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed).
Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply).
Follow us on LinkedIn IT Recruitment for more exciting opportunities.

Job Title: Snowflake Data Engineer
Location: London (2 days on-site per week)
Salary/Rate: 550 - 600 per day inside IR35
Start Date: March
Job Type: Initial 3-6 month contract

Company Introduction
We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project.

Job Responsibilities/Objectives
You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects.

? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake.
? Build ELT pipelines using Snowflake, dbt, Python/PySpark.
? Develop ingestion from APIs, databases, streams.
? Optimize Snowflake warehouses, cost, and performance.
? Collaborate with architects, analysts, and DevOps.
? Maintain documentation, lineage, governance standards.

Required Skills/Experience
The ideal candidate will have the following:

? Strong SQL; Snowflake ELT; dbt experience.
? Python/PySpark, ETL/ELT design.
? Data Vault 2.0 or dimensional modeling.
? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents.
? Experience with CI/CD for data pipelines.

Good to have skills
Although not essential, the following skills are desired by the client:

? Kafka/Kinesis, Airflow, CodePipeline.
? BI tools (Power BI/Tableau).
? Docker/OpenShift; metadata driven pipelines.

? 3-8+ years Data Engineering experience.
? Cloud data engineering and Snowflake/dbt hands on exposure.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Day rate: 500 - 550 Inside IR35

Location: London

Key Responsibilities

• Design, build, and maintain scalable data pipelines, ETL processes, and data integrations.
• Develop and optimize data models, storage solutions, and analytics environments.
• Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products.
• Implement visualizations that make complex datasets understandable for technical and non-technical users.
• Work with cross-functional teams to translate product requirements into technical designs.
• Ensure data quality, governance, and best practices across systems.
• Contribute to the evolution of our design systems and front-end components for data tools.

Required Skills & Experience

• Proven experience as a Data Engineer, BI Engineer, or similar role.
• Strong proficiency in SQL, Python, and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Solid understanding of data warehousing and ETL/ELT architecture.
• Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces.
• Experience with front-end technologies (e.g., React, Vue, or similar) is a plus.
• Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).