Job Description:

Azure Data Developer Consultant

We are seeking a high caliber Azure Data Developer Consultant for a mission-critical, fully hands-on contract engagement. This role sits at the intersection of enterprise application development and complex data architecture, acting as a technical linchpin for a high-profile client.

Engagement Overview

• Role: Azure Data Developer Consultant
• Location: Remote (with occasional travel to Client)
• Clearance: Active SC Clearance Required
• Status: Fully Hands-on / Technical Leadership
• Inside IR35

Key Technical Responsibilities

As a trusted advisor, you will lead the design and delivery of scalable, secure cloud-native applications. Your remit includes:

• Application and DevOps: Lead development of enterprise-grade apps using React and Python via TDD. You will architect CI/CD pipelines and IaC, deploying via Azure App Services, Functions, and Logic Apps.
• Data Architecture: Design resilient, cost-effective environments aligned with the Microsoft CAF, focusing on secure networking, identity, and compliance governance.
• Consultancy and Leadership: Translate stakeholder requirements into technical roadmaps, mentor junior developers, and support pre-sales/solution design.

Technical Profile

Essential Skills

Data Stack - Synapse (or Databricks/Jupyter), Spark/Python, and SQL.

DevOps - Git/ADO, CI/CD, and Infrastructure as Code.

Azure Services - App Services, API Management, and Logic Apps.

Legacy/Hybrid - SQL Server and Oracle understanding.

Data Modeling - Advanced architecture and PowerBI familiarity.

£600.00 / day

Talent International UK and it’s subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC’s, Privacy Policy and Disclaimers which can be found at talentinternational.co.uk

Role: Data Architect
Location: Remote (Occasional travel to Leeds & Newcastle)
Rate: £550/ Day Inside IR35
Duration 6 Months initial engagement
Clearance: SC Clearance Essential (Applications without Active SC will not be considered)

We are looking for an experienced Data Architect/Data Modeller to contribute to the successful delivery of an exciting new programme for our client. In this role, you will take responsibility for the end-to-end data architecture across domains and microservices, ensuring strong data integrity, effective governance, and high usability of the platform’s data assets.

Key Responsibilities

• Take ownership of the overarching data landscape across all domains and microservices within the PIP New Service.

• Maintain, refine, and evolve the platform’s Conceptual and Logical Data Models.

• Work closely with development teams, offering guidance to ensure physical data implementations remain aligned with the agreed logical model and preserve defined relationships.

• Manage and update the Physical Data Schema and detailed Data Dictionary (currently held in Excel), becoming the subject matter expert for this dataset.

• Support operational analytics needs by collaborating with Data Performance Analysts and analytics teams responsible for MI/BI/ONS outputs.

• Contribute to central DWP Data Governance initiatives, including:

• Introduction of Data Steward and Data Custodian roles

• Deployment of formal Data Catalogue tooling

• Enhanced data governance practices for development teams

Skills & Experience

• Extensive experience in Data Modelling across Conceptual, Logical, and Physical levels.
• Hands-on experience with data modelling tools (currently using Lucid, with possible future adoption of Erwin).
• Strong client-facing background with the ability to advise and guide development teams.
• Knowledge of MongoDB and JSON-based data structures.
• Ability to inspect and analyse data using SQL or Python within Databricks.
• Experience with Data Catalogue solutions (Axon exposure is advantageous).
• Solid understanding of data governance and data stewardship principles.

Interested? Apply now and we will get in touch as soon as possible.

DataEngineer-RemoteWorking

LynxarecurrentlyworkingwithalargeITconsultancytohelpthemsourceaDataEngineer.OurclientislargeglobalConsultancywhoworkwithenterpriseclients,solvingtheirbusinessandtechnologyproblemsusingcuttingedgesolutions.

AsaDataEngineer,youwillplayakeyroleindesigning,building,andmaintainingrobustdataplatformsandpipelines.Youllworkalongsidedatascientists,analysts,andengineerstoensurereliable,scalable,andhigh-qualitydatasolutions.

Whatyoullbedoing:

• Designingandbuildingdatapipelines,models,andarchitectures
• DevelopingandmaintainingETL/ELTprocessesusingmoderntools
• Implementingdatastoragesolutionsacrossrelational,non-relational,andcloudplatforms
• Ensuringdataquality,reliability,andoperationalexcellence
• Leadingthedesignanddeliveryofnewdataproductsandpipelines
• Collaboratingcloselywithstakeholdersandtechnicalteams
• Providingtechnicalleadershipandmentoringwithindeliveryteams

Whattherelookingfor:

• Strongexperienceindataengineeringroles
• Provenleadershiporlinemanagementexperience
• Hands-onexperiencewithcloudplatforms(AWSorAzure;GCPbeneficial)
• StrongSQLskillsandexperiencewithrelationaldatabases
• Pythondevelopmentexperienceandfamiliaritywithframeworks(e.g.Flask,Django)
• ExperiencebuildingandorchestratingETLpipelines(e.g.Airflow,Luigi,Argo)
• Exposuretobigdatatechnologies(e.g.Spark,Kafka,Hadoop)
• ExperienceworkinginAgileenvironments
• Solidunderstandingofdataarchitectureanddataqualitybestpractices

Senior DataEngineer-RemoteWorking

LynxarecurrentlyworkingwithalargeITconsultancytohelpthemsourceaDataEngineer.OurclientislargeglobalConsultancywhoworkwithenterpriseclients,solvingtheirbusinessandtechnologyproblemsusingcuttingedgesolutions.

AsaDataEngineer,youwillplayakeyroleindesigning,building,andmaintainingrobustdataplatformsandpipelines.Youllworkalongsidedatascientists,analysts,andengineerstoensurereliable,scalable,andhigh-qualitydatasolutions.

Whatyoullbedoing:

• Designingandbuildingdatapipelines,models,andarchitectures
• DevelopingandmaintainingETL/ELTprocessesusingmoderntools
• Implementingdatastoragesolutionsacrossrelational,non-relational,andcloudplatforms
• Ensuringdataquality,reliability,andoperationalexcellence
• Leadingthedesignanddeliveryofnewdataproductsandpipelines
• Collaboratingcloselywithstakeholdersandtechnicalteams
• Providingtechnicalleadershipandmentoringwithindeliveryteams

Whattherelookingfor:

• Strongexperienceindataengineeringroles
• Provenleadershiporlinemanagementexperience
• Hands-onexperiencewithcloudplatforms(AWSorAzure;GCPbeneficial)
• StrongSQLskillsandexperiencewithrelationaldatabases
• Pythondevelopmentexperienceandfamiliaritywithframeworks(e.g.Flask,Django)
• ExperiencebuildingandorchestratingETLpipelines(e.g.Airflow,Luigi,Argo)
• Exposuretobigdatatechnologies(e.g.Spark,Kafka,Hadoop)
• ExperienceworkinginAgileenvironments
• Solidunderstandingofdataarchitectureanddataqualitybestpractices

Data Modeller

Remote- Warwick based business
£40,000 - £45,000

A growing engineering consultancy working within the UK water and utilities sector is looking to hire Junior Hydraulic Modellers to join their expanding team.

This is a great opportunity for someone early in their career to develop their experience in hydraulic modelling and water network analysis, working on projects across regulated utilities.

The Role
As a Junior Hydraulic Modeller, you will support the delivery of hydraulic modelling and analysis across water and wastewater networks, working alongside experienced engineers on a range of infrastructure projects.

Key responsibilities include:
Supporting hydraulic modelling of water and wastewater networks
Developing and maintaining hydraulic models
Analysing network performance and system behaviour
Assisting with data analysis and modelling activities
Supporting project delivery and technical reporting

Requirements
We are keen to speak with candidates who have:
Experience or exposure to hydraulic modelling or water network analysis
A background within water utilities, engineering consultancies, or infrastructure environments
Knowledge of modelling tools such as InfoWorks, EPANET, or similar software
Strong analytical and problem-solving skills

What’s On Offer
Salary of £40,000 - £45,000
Remote working
Opportunity to work on projects within the UK water sector
Strong development opportunities within a growing team

ETL Developer | £45,000 - £55,000 | Coventry/Remote |
ETL | Talend | Azure Data Factory | Extract Transform Load | Data Pipeline Manager | Tech4Good | Sustainability
Are you looking to join a company that are doing their bit to look after the environment?

Or maybe you want to work with lots of different types of data?

I am supporting a brilliant tech4good organisation that harness data and insights to help companies and brands become more environmentally friendly.

They’re looking for a ETL Developer with 5+ years of experience to come on board and support with the migration into Qlik Talend.
As an ETL Developer you will be looking after 2 Pipeline Analyst to migrate data from over 300 sources. You will be managing the ETL process, building scalable data pipelines and communicate with different departments to ensure best practice.

Experience needed -

• Building and managing ETL pipelines
• Solid communication skills
• Previous management/mentorship experience

But what is in it for you?

• Salary up to £55,000
• Up to 15% Bonus
• Hybrid working
• 8% pension
• Flexible benefits pot which includes private medical
• And more

This is a brilliant chance for someone looking to make a difference. If you’re interested please apply or send your CV to (see below)

No sponsorship is available.

Role: Palantir Foundry Data Engineer Location: Remote working Day rate: £400pd-£500pd Contract: 3 month initial We are currently recruiting for an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping the data ecosystem, ensuring reliability, performance, and long-term sustainability. Skills and experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require occasional travel to client site, please consider this when applying for the role. If you are interested in the role and would like to apply, please click on the link for immediate consideration

Senior AI Engineer (NLP / LLMs)

Location: UK (Remote)

Salary: £80,000 - £85,000

A growing technology company operating in the healthcare and legal data space is looking for a Senior AI Engineer to help develop advanced AI capabilities within its platform.

The organisation works with large volumes of complex clinical and legal data and is investing heavily in machine learning, natural language processing, and large language models to automate analysis and generate meaningful insights.

The Role

You will design and deploy LLM and NLP-driven solutions , taking ownership of the full lifecycle from experimentation through to production. Working closely with data, engineering, and product teams, you’ll help deliver scalable AI systems that operate reliably in production environments.

Key Responsibilities

Develop and deploy NLP and LLM-based models

Fine-tune foundation models using domain-specific datasets

Build and maintain MLOps pipelines for training, testing, and deployment

Implement monitoring, evaluation, and optimisation of AI models

Collaborate with cross-functional teams to integrate AI capabilities into the wider platform

Required Experience

Strong background in AI / Machine Learning engineering

Expertise in NLP, LLMs, and transformer-based architectures

Experience with RAG, agents, or prompt engineering

Hands-on knowledge of MLOps, CI/CD, and model deployment

Experience with Docker, Kubernetes, or similar containerisation tools

Desirable

Experience working in regulated or sensitive data environments

Exposure to graph-based retrieval or knowledge graphs

Familiarity with cloud ML platforms (Azure or similar)

This is an opportunity to work on cutting-edge AI systems tackling complex real-world problems in a collaborative and fast-growing environment.

TPBN1_UKTJ

One of our Blue Chip Clients is urgently looking for a Data Management Support - (Aircraft Maintenance CAMO Data Support). This role is fully remote but candidate need to be within 45 min commute of Brize Norton as per Client's request due to the on call element of the role. CONTRACTOR MUST BE ELIGIBLE FOR BPSS MUST BE PAYE THROUGH UMBRELLA - Aerospace manufacturing - Manufacturing Process capture and document creation - Technical areas o Aerospace Primary Structure Composite (carbon fibre) Composite wing manufacture Composite primary structure - curing/co-bonding Inspection methods Manufacturing methods Metallic Treatments Inspection Methods Mechanical assembly and drilling (metallic/composite) Assembly Machining Structural adhesives Paints Sealants Shift Pattern Early shift: 7:00 am to 15:00 pm Central shift: 9:00 am to 17.00 pm Late shift: 12:30 am to 20:00 pm Primary shift: 20:00 pm to 7:00 am. Only need to go to the office if an A/C lands. Weekend shift: Currently from 07:00 Saturday morn to 07:00 Monday morn Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse

The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.

Key Responsibilities

• Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
• Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
• Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
• Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
• Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
• Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
• Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.

Knowledge, Skills & Experience

• Degree in Computer Science, Data Engineering, or a related field.
• Proven experience designing and building cloud-based data platforms, ideally within Azure.
• Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
• Solid understanding of Data Lakehouse architecture and modern data platform design.
• Proficiency in Python for data engineering, automation, and data processing.
• Experience developing and integrating REST APIs for data services.
• Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
• Experience with Infrastructure as Code tools such as Terraform or ARM templates.
• Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
• Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).

Desirable

• Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
• Knowledge of cloud cost optimisation for data platforms.
• Understanding of data governance and regulatory compliance (eg, GDPR).
• Experience working in regulated or professional services environments.

We are looking for a skilled and motivated Business Intelligence Developer to join a data and analytics team. This role is ideal for someone with strong technical expertise in Power BI, Microsoft Business Intelligence tools, SQL, and DAX, who is passionate about transforming data into actionable insights.

As a BI Developer, you will be responsible for developing, maintaining, and enhancing business intelligence systems that support data-driven decision-making across the organisation. You will work closely with stakeholders to understand business requirements and deliver scalable, high-quality reporting and analytics solutions.

Key Responsibilities

• Design, develop, and maintain Business Intelligence solutions and reporting systems.
• Build interactive dashboards and reports using Power BI.
• Develop robust data models to support analytics and reporting requirements.
• Write efficient queries and stored procedures using SQL.
• Develop calculations and measures using DAX to support advanced analytics.
• Integrate data from multiple sources using Microsoft Business Intelligence tools.
• Ensure data accuracy, performance optimisation, and governance of BI solutions.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Support and enhance existing BI systems, ensuring reliability and scalability.

Key Skills & Experience

• Proven experience as a Business Intelligence Developer or similar BI/analytics role.
• Strong expertise in Power BI, including dashboard and report development.
• Extensive experience with SQL for querying, transformation, and optimisation.
• Strong knowledge of DAX for building complex calculations and measures.
• Experience with Microsoft Business Intelligence stack (e.g., SSIS, SSAS, SSRS).
• Solid understanding of data modelling, including star and snowflake schemas.
• Ability to translate business requirements into technical BI solutions.
• Strong analytical thinking and problem-solving skills.

Desirable Skills

• Experience working with data warehouses or data lake architectures.
• Knowledge of ETL processes and data integration.
• Experience with Azure data services or cloud-based BI platforms.
• Understanding of data governance and best practices in data management.

Senior AI Engineer (NLP/LLMs)

Location: UK (Remote)

Salary: £80,000 - £85,000

A growing technology company operating in the healthcare and legal data space is looking for a Senior AI Engineer to help develop advanced AI capabilities within its platform.

The organisation works with large volumes of complex clinical and legal data and is investing heavily in machine learning, natural language processing, and large language models to automate analysis and generate meaningful insights.

The Role

You will design and deploy LLM and NLP-driven solutions, taking ownership of the full life cycle from experimentation through to production. Working closely with data, engineering, and product teams, you’ll help deliver scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Develop and deploy NLP and LLM-based models
• Fine-tune foundation models using domain-specific datasets
• Build and maintain MLOps pipelines for training, testing, and deployment
• Implement monitoring, evaluation, and optimisation of AI models
• Collaborate with cross-functional teams to integrate AI capabilities into the wider platform

Required Experience

• Strong background in AI/Machine Learning engineering
• Expertise in NLP, LLMs, and transformer-based architectures
• Experience with RAG, agents, or prompt engineering
• Hands-on knowledge of MLOps, CI/CD, and model deployment
• Experience with Docker, Kubernetes, or similar containerisation tools

Desirable

• Experience working in regulated or sensitive data environments
• Exposure to graph-based retrieval or knowledge graphs
• Familiarity with cloud ML platforms (Azure or similar)

This is an opportunity to work on cutting-edge AI systems tackling complex real-world problems in a collaborative and fast-growing environment.

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £1495, or, £124.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

We’re looking for an experienced Senior Data Engineer to join a growing team building a modern Microsoft Fabric data platform. This is a hands-on role designing and delivering scalable data pipelines, Lakehouse solutions, and analytics models within the Azure ecosystem.

What You’ll Do:

• Build and maintain ETL/ELT pipelines and data models in Fabric (Data Factory, Notebooks, Spark)
• Write high-performance Spark SQL, T-SQL, Python/PySpark
• Manage ingestion, transformation, and loading from multiple sources
• Translate stakeholder requirements into scalable technical solutions
• Mentor team members and establish engineering standards, security, and governance
• Leverage AI-assisted development tools like GitHub Copilot, ChatGPT, and Fabric Copilot

Essential Experience:

• Microsoft Fabric & Azure Data ecosystem
• Lakehouse architectures & Data Factory
• Python, PySpark, Spark SQL
• Proven hands-on delivery in this stack

What’s on Offer:

• Salary: 70,000
• Excellent benefits & annual leave package
• Strong progression & development opportunities
• Opportunity to work on a modern, AI-enabled data platform
• Real ownership and influence in a growing, forward-thinking data team

If you’re an experienced Data Engineer with solidMicrosoft Fabric and Azure experience, we’d love to hear from you!

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

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

PySpark Engineer Lead

As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn’t just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines for a Tier-1 financial services environment.

Core Responsibilities

• Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue.
• Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring.
• Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost-efficient processing of massive financial datasets.
• Quality & Governance: Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure “penny-perfect” accuracy.

Technical Stack

• Engine: PySpark (Expert), Python (Clean Code/SOLID principles).
• AWS: EMR, Glue, S3, Athena, IAM, Lambda.
• Data Modeling: SCD Type 2, Fact/Dimension tables, Data Vault/Star Schema.
• Legacy: Proficiency in reading/debugging SAS (Base, Macros, DI Studio).
• DevOps: Git-based workflows, Jenkins/GitLab CI, Terraform.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Title: TM1 Planning Developer
Location: Remote - Inside IR35.
Start Date: April
Job Type: Contract

We’re looking for a TM1/IBM Planning Analytics Developer to support the development and optimisation of enterprise planning solutions within a complex data environment.

You will be responsible for designing and maintaining TM1 models and cubes, developing business rules and processes, and supporting financial and operational planning workflows. The role involves working closely with finance and business stakeholders to deliver scalable, high-performance planning and reporting solutions.

This is a 3 month initial contract, remote and Inside IR35.

Key requirements:

• Strong experience with IBM TM1/Planning Analytics
• Development of cubes, dimensions, rules and TurboIntegrator (TI) processes
• Experience supporting financial planning, forecasting and reporting
• Performance optimisation and troubleshooting of TM1 models
• Strong stakeholder engagement skills

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.