Data Engineering Manager - Data Products

Technical Manager / Data Manager / Python / AWS

Not every Engineering Manager role is about running sprints or firefighting delivery issues.

This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.

You will not be coding day to day, but this is not a hands off role either. It suits an Engineering Manager who is comfortable going deep on architecture, data models and trade offs, and who enjoys working closely with senior engineers and tech leads to get the best outcomes.

What you will be responsible for

You will lead engineering across a set of data product teams, with responsibility for both people and outcomes.

That includes:

• Teams building and maintaining data feeds, datasets and client facing outputs
• The evolution of shared data models and event schemas, making products more consistent and easier to extend
• The automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflows

You will own direction and delivery across these areas, making sure teams are aligned, supported and focused on the right problems.

What you will be working on day to day

In practice, you will:

• Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerce
• Lead teams responsible for schemas, datasets and reporting outputs used directly by customers
• Drive improvements to data models and event structures, reducing complexity and inconsistency
• Shape and prioritise work on automation and internal tools that reduce manual effort and raise quality
• Partner closely with Product, Data Engineering and ML, Apps, QA and client facing teams
• Hire, develop and support engineers and tech leads through one to ones, feedback and career development
• Establish and improve engineering practices around observability, data quality, documentation, incident response and service levels

This role has real scope, technically, organisationally and culturally.

Who this role suits

This role is a strong fit if you:

• Enjoy leading engineers, not just managing work
• Have a solid technical background and like being able to challenge designs and assumptions
• Care about building well modelled, trustworthy data products
• Are comfortable balancing delivery, quality and long term platform health
• Like working cross functionally and navigating real world constraints

You will likely bring:

• Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment
• A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar
• Experience owning or supporting analytics, data or reporting products
• Strong people leadership skills including hiring, coaching and performance management
• A track record of delivering complex, cross functional initiatives

Nice to have:

• Experience with automation or test tooling
• Familiarity with data privacy and governance, such as GDPR or consented data

How you will work

• Hybrid role, Manchester based
• Two days per week in the office, the rest flexible
• Flexible start and finish times
• Full home working setup provided

For further details and to apply, please get in touch with jon.brass @ circlerecruitment.com

Engineering Manager - Data Products /Technical Manager / Data Manager / Python / AWS

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Swindon | Permanent | Competitive Salary & Package | High‑Tech, Regulated Environments

A UK Leading M&E Contractor is expanding its Swindon operation and is seeking an experienced Mechanical Project Manager to support the delivery of high‑specification cleanrooms, laboratories, and controlled‑environment facilities for some of the UK’s most advanced scientific and technological organisations. This is a key appointment within a fast‑growing, employee‑owned business known for precision engineering, technical excellence, and exceptional client retention.

The Swindon office plays a central role in supporting life sciences, pharmaceuticals, quantum technologies, semiconductors, and advanced manufacturing clients across the region. The successful candidate will join a highly skilled team delivering turnkey design, build, validation, and maintenance solutions for mission‑critical environments.

The business is employee‑owned, fostering long‑term commitment, collaboration, and a culture of quality. With a 90% repeat‑business rate and a rapidly expanding national footprint, recognised as a leader in the controlled‑environment sector.

The Role

The Mechanical Project Manager will take ownership of mechanical packages across a range of complex, regulated projects. You’ll manage delivery from early design coordination through procurement, installation, commissioning, validation support, and final handover.

This role is ideal for someone who thrives in technically demanding environments, enjoys multidisciplinary coordination, and understands the importance of compliance, precision, and controlled‑environment performance.

Key Responsibilities

Project Delivery

Lead mechanical project delivery across cleanrooms, laboratories, containment suites, and specialist manufacturing spaces.

Manage full lifecycle activities: design coordination, procurement, installation, commissioning, and validation support.

Ensure mechanical systems meet strict performance criteria including airflow, pressure regimes, temperature, humidity, and contamination control.

Conduct regular site inspections and proactively resolve technical issues.

Technical & Compliance Oversight

Work closely with design engineers to ensure mechanical solutions meet regulatory, client, and performance specifications.

Support validation teams with documentation, testing readiness, and compliance requirements.

Maintain rigorous quality‑control processes throughout the project lifecycle.

Commercial & Financial Management

Prepare and manage project budgets, forecasts, and cost plans.

Oversee procurement of specialist equipment, materials, and subcontractor packages.

Manage variations, valuations, and final accounts with accuracy and transparency.

Stakeholder & Team Coordination

Lead mechanical engineers, specialist subcontractors, and site teams.

Maintain strong communication with clients, consultants, and internal project leads.

Represent at progress meetings, technical reviews, and client presentations.

Candidate Profile

Essential

Proven experience delivering mechanical building‑services projects, ideally within cleanrooms, laboratories, pharmaceuticals, or other regulated environments.

Strong understanding of HVAC, air handling, ductwork, chilled water, heating, and specialist mechanical systems.

Ability to manage multiple projects concurrently.

Excellent communication, leadership, and client‑facing skills.

Strong commercial awareness and experience managing budgets.

Full UK driving licence.

Desirable

Experience in high‑tech or controlled‑environment sectors (life sciences, semiconductors, medical devices, quantum technologies).

Knowledge of validation processes and compliance frameworks.

HNC/HND or degree in Mechanical Engineering or Building Services.

SMSTS or equivalent health & safety certification.

What’s on Offer

Competitive salary and benefits package.

Employee‑owned business with long‑term career progression.

Opportunity to work on cutting‑edge scientific and technological facilities.

A collaborative, technically excellent team environment.

Exposure to some of the UK’s most advanced cleanroom and laboratory projects.

Interested? Click apply now! Alterantively for more information call Aaron on (phone number removed) or email your CV to (url removed)

Engineering Manager - Data Products

Technical Manager / Data Manager / Python / AWS

Not every Engineering Manager role is about running sprints or firefighting delivery issues.

This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.

You will not be coding day to day, but this is not a hands off role either. It suits an Engineering Manager who is comfortable going deep on architecture, data models and trade offs, and who enjoys working closely with senior engineers and tech leads to get the best outcomes.

What you will be responsible for

You will lead engineering across a set of data product teams, with responsibility for both people and outcomes.

That includes:

• Teams building and maintaining data feeds, datasets and client facing outputs
• The evolution of shared data models and event schemas, making products more consistent and easier to extend
• The automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflows

You will own direction and delivery across these areas, making sure teams are aligned, supported and focused on the right problems.

What you will be working on day to day

In practice, you will:

• Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerce
• Lead teams responsible for schemas, datasets and reporting outputs used directly by customers
• Drive improvements to data models and event structures, reducing complexity and inconsistency
• Shape and prioritise work on automation and internal tools that reduce manual effort and raise quality
• Partner closely with Product, Data Engineering and ML, Apps, QA and client facing teams
• Hire, develop and support engineers and tech leads through one to ones, feedback and career development
• Establish and improve engineering practices around observability, data quality, documentation, incident response and service levels

This role has real scope, technically, organisationally and culturally.

Who this role suits

This role is a strong fit if you:

• Enjoy leading engineers, not just managing work
• Have a solid technical background and like being able to challenge designs and assumptions
• Care about building well modelled, trustworthy data products
• Are comfortable balancing delivery, quality and long term platform health
• Like working cross functionally and navigating real world constraints

You will likely bring:

• Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment
• A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar
• Experience owning or supporting analytics, data or reporting products
• Strong people leadership skills including hiring, coaching and performance management
• A track record of delivering complex, cross functional initiatives

Nice to have:

• Experience with automation or test tooling
• Familiarity with data privacy and governance, such as GDPR or consented data

How you will work

• Hybrid role, Manchester based
• Two days per week in the office, the rest flexible
• Flexible start and finish times
• Full home working setup provided

For further details and to apply, please get in touch with jon.brass @ circlerecruitment.com

Engineering Manager - Data Products /Technical Manager / Data Manager / Python / AWS

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Job Title: Lead Data Engineer
Location: Leeds, 2x per week
Salary: Up to £80,000 per annum

Why Apply?
This is an exciting opportunity to work as a Lead Data Engineer delivering scalable, high quality data solutions for a leading client in the technology sector. This position offers professional growth, challenging projects, and access to cutting edge cloud data technologies.

Lead Data Engineer Responsibilities:

• Design, develop, and optimise robust, scalable data pipelines and architectures to support Business Intelligence and analytics initiatives.
• Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions.
• Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt).
• Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability.
• Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight.
• Apply best practices in data governance, data quality, and performance optimisation.
• Operate in an agile environment, contributing to technical discussions and problem-solving initiatives.

Lead Data Engineer Requirements:

• Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow).
• Strong programming skills in Python, SQL, and Java for data engineering tasks.
• Experience designing reliable, maintainable, and high-performance data pipelines and architectures.
• Broad understanding of data warehousing, data lakes, and lakehouse architectures.
• Familiarity with Business Intelligence and data visualisation tools.
• Excellent analytical thinking, attention to detail, and problem-solving skills.
• Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders.
• Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Role: Senior Data Engineer Contract: 6 months Location: London - EC1M (Hybrid – minimum 2 days per week onsite) Rate: £425/day (Inside IR35) Start: ASAP Positions: 4 The Opportunity We are looking for experienced Senior Data Engineers to join a large-scale retail data transformation programme. You’ll work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products. This is a hands-on role with strong exposure to Snowflake, DBT, cloud platforms (AWS/Azure) and modern engineering best practices. You’ll collaborate closely with architects, analysts, and business stakeholders, and play a key role in setting technical standards within the team. Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines * Build and optimise data transformations using DBT and SQL * Implement and maintain data models (Data Vault experience highly desirable) * Monitor, troubleshoot, and optimise production data pipelines * Work with Snowflake to deliver high-performance analytics solutions * Collaborate with cross-functional teams to translate business requirements into technical solutions * Support data governance, data quality, and best engineering practices * Mentor junior engineers and contribute to technical decision-making Essential Skills & Experience * Strong hands-on experience as a Senior Data Engineer * Snowflake data warehouse experience * DBT for data transformation and modelling * Advanced SQL and Python * Experience building pipelines using Airflow (or similar orchestration tools) * Cloud experience on AWS and/or Azure * Infrastructure-as-code exposure (e.g. Terraform) * Git-based version control (GitHub, Azure DevOps) * Strong communication and stakeholder engagement skills Desirable Experience * Data Vault (DV 2.0) modelling * Data governance tools (e.g. Alation) * Azure Data Lake, Delta Lake, Redis * CI/CD using GitHub Actions or Azure DevOps * Monitoring and observability for data platforms Why Apply? * Hybrid working with limited onsite requirement * Long-term, well-funded programme * Modern data stack and real-world scale * Multiple positions available – strong team environment

Basingstoke | Permanent | Competitive Salary & Package | High-Tech, Regulated Environments

A UK Leading M&E Contractor is expanding its Swindon operation and is seeking an experienced Mechanical Project Manager to support the delivery of high-specification cleanrooms, laboratories, and controlled-environment facilities for some of the UK’s most advanced scientific and technological organisations. This is a key appointment within a fast-growing, employee-owned business known for precision engineering, technical excellence, and exceptional client retention.

The Basingstoke office plays a central role in supporting life sciences, pharmaceuticals, quantum technologies, semiconductors, and advanced manufacturing clients across the region. The successful candidate will join a highly skilled team delivering turnkey design, build, validation, and maintenance solutions for mission-critical environments.

The business is employee-owned, fostering long-term commitment, collaboration, and a culture of quality. With a 90% repeat-business rate and a rapidly expanding national footprint, recognised as a leader in the controlled-environment sector.

The Role

The Mechanical Project Manager will take ownership of mechanical packages across a range of complex, regulated projects. You’ll manage delivery from early design coordination through procurement, installation, commissioning, validation support, and final handover.

This role is ideal for someone who thrives in technically demanding environments, enjoys multidisciplinary coordination, and understands the importance of compliance, precision, and controlled-environment performance.

Key Responsibilities

Project Delivery

• Lead mechanical project delivery across cleanrooms, laboratories, containment suites, and specialist manufacturing spaces.
• Manage full lifecycle activities: design coordination, procurement, installation, commissioning, and validation support.
• Ensure mechanical systems meet strict performance criteria including airflow, pressure regimes, temperature, humidity, and contamination control.
• Conduct regular site inspections and proactively resolve technical issues.

Technical & Compliance Oversight

• Work closely with design engineers to ensure mechanical solutions meet regulatory, client, and performance specifications.
• Support validation teams with documentation, testing readiness, and compliance requirements.
• Maintain rigorous quality-control processes throughout the project lifecycle.

Commercial & Financial Management

• Prepare and manage project budgets, forecasts, and cost plans.
• Oversee procurement of specialist equipment, materials, and subcontractor packages.
• Manage variations, valuations, and final accounts with accuracy and transparency.

Stakeholder & Team Coordination

• Lead mechanical engineers, specialist subcontractors, and site teams.
• Maintain strong communication with clients, consultants, and internal project leads.
• Represent at progress meetings, technical reviews, and client presentations.

Candidate Profile

Essential

• Proven experience delivering mechanical building-services projects, ideally within cleanrooms, laboratories, pharmaceuticals, or other regulated environments.
• Strong understanding of HVAC, air handling, ductwork, chilled water, heating, and specialist mechanical systems.
• Ability to manage multiple projects concurrently.
• Excellent communication, leadership, and client-facing skills.
• Strong commercial awareness and experience managing budgets.
• Full UK driving licence.

Desirable

• Experience in high-tech or controlled-environment sectors (life sciences, semiconductors, medical devices, quantum technologies).
• Knowledge of validation processes and compliance frameworks.
• HNC/HND or degree in Mechanical Engineering or Building Services.
• SMSTS or equivalent health & safety certification.

What’s on Offer

• Competitive salary and benefits package.
• Employee-owned business with long-term career progression.
• Opportunity to work on cutting-edge scientific and technological facilities.
• A collaborative, technically excellent team environment.
• Exposure to some of the UK’s most advanced cleanroom and laboratory projects.

Interested? Click apply now! Alterantively for more information call Aaron on 07939 544885 or email your CV to

Experience: 12+ years total; 3+ years in AI/ML/GenAI (production-grade)

About the Role

Were looking for a Lead AI Engineer to own the delivery of GenAI and agentic systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will set engineering standards across AI projects, lead technical design, guide LLM orchestration, and drive platform reliability, performance,

and cost efficiency.

Key Responsibilities

End-to-end delivery: Own the full lifecycle (discovery ? prototyping ? hardening ? production ? monitoring ? continuous improvement) of GenAI and agentic systems.

LLM orchestration & tooling: Design and implement workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.

Optimize prompt strategies, memory, tools, and policies.

RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching, and evaluation.

Guardrails & observability: Implement policy/guardrails, safety filters, prompt/content validation, and LLMOps observability (tracing, token/cost monitoring, drift detection, eval harnesses).

Architecture & microservices: Build scalable services and APIs in

Python/JS/Java; define contracts, SLAs, and resiliency patterns (circuit breakers, retries, idempotency).

Cloud & platform engineering: Design for AWS/GCP/Azure using managed services; containerize with Docker, orchestrate with Kubernetes, and automate via CI/CD.

Security-first delivery: Enforce encryption, secrets management, IAM/least- privilege, privacy-by-design, data minimization, and model compliance requirements.

MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans.

Data engineering: Build reliable data pipelines (batch/stream) using Spark/Airflow/Beam; ensure data quality, lineage, and governance.

Technical leadership: Lead design reviews, mentor engineers, enforce coding standards, documentation, and SRE best practices. Partner with Product, Security, and Compliance.

Performance & cost: Optimize latency, throughput, token usage, context windows, and hosting strategies; manage budgets and efficiency.

Required Qualifications

12+ years overall software engineering experience with 3+ years hands-on in

AI/ML/GenAI, including production deployments.

Strong system design and scalable architecture skills for AI-first applications and platforms.

Hands-on expertise with LLM orchestration frameworks (e.g.,LangChain / LangGraph/ LlamaIndex/ Semantic Kernel).

Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector).

Proficiency in Python (primary) and at least one of JavaScript/TypeScript or Java.

Solid foundation in cloud (AWS/GCP/Azure), Docker/Kubernetes, and CI/CD.

Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability.

Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam).

Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM,key management).

Nice-to-Have

Experience with function/tool calling, agent frameworks, and structured output (JSON/JSON Schema).

Knowledge of embedding models, rerankers, hybrid search (BM25 + vector), and evaluation frameworks.

Exposure to cost/latency trade-offs across hosted vs. self-hosted models; GPU inference (Triton, vLLM, TGI).

Familiarity with feature stores, streaming (Kafka/PubSub), and data contracts.

Domain experience in [your industry/domaine.g., BFSI, healthcare, manufacturing].

Contributions to OSS, publications, patents, or speaking at AI/ML conferences.

Lead Data Engineer (with Data Analytics Background)

Location: City Of London

Employment Type: Full-time

Salary: £90,000 - £100,000k

Sector: Fintech / Payments

Overview

We are looking for a highly skilled Lead Data Engineer with a strong foundation in data analytics to join a growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You’ll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform’s evolution.

This is a hands-on role where you’ll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team’s velocity.

Key Responsibilities

Design, develop, and maintain data models to support analytical and operational use cases.
Write efficient, production-grade SQL to build data pipelines and transformations.
Develop and maintain data workflows and automation scripts in Python.
Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
(Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

Skills & Experience

5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
Proven expertise in SQL and building complex data models.
Strong proficiency in Python for data processing, ETL, and workflow automation.
Experience with cloud data platforms (Snowflake experience highly desirable).
Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
Understanding of CI/CD pipelines and data infrastructure automation.
Familiarity with data governance, security, and best practices in a cloud environment

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/ Once a month)

VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a lead data engineer to lead the design of their platform within the Google Cloud Platform (GCP). The role will involve an even split of technical engineering, architecture and leadership/people management. Due to the seniority of this role, candidates must have hands on experience with GCP.

Requirements for the Lead Data Engineer:

• Experience line managing teams of data professionals.
• Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.
• Deep understanding of Data Mesh/ decentralised design and Data Lake/Warehouse solutions.
• Hands on skills across the GCP tech stack, SQL and Python.
• Ability to lead cultural change across organisations, and manage senior stakeholders.
• Ability to work across multiple contexts and teams.

Job Duties of the Lead Data Engineer:

• Lead the architecture, best practise and engineering strategy of data squads.
• Hands on data engineering work, utilising both python and SQL.
• Mentor and lead teams of engineers, checking and reviewing code, and setting standards.
• Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.
• Design and help build the data platform – ensuring data is processed through semantic layers and can be modelled effectively.
• Lead changes across the organisation, adopting a decentralised design.

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/Hybrid)

Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the

Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

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 Senior Data Engineer or 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 .

Know someone exceptional for this Senior Data Engineer position? Refer them and receive up to £1,000 if successful (terms apply).

Follow us on LinkedIn @VIQU IT Recruitment for more exciting opportunities.

TPBN1_UKTJ

Commissioning Engineer - Residential Ductwork Ventilation.

our client is looking for a commissioning engineer in the North West, covering Manchester, Blackburn projects.

The project is a retirement Village. each plot or a 1 or 2 bedroom apartments.

Commissioning will include, kitchen extract, MVHR systems.

To commission residential ventilation systems, you typically need the following certificates:

• Ventilation Commissioning Certificate: This certificate is essential for demonstrating compliance with the Building Regulations Part F. It is provided by a BPEC-accredited engineer who has conducted the commissioning process.
• Flow Rate Test Certificate: Also known as a Part F Test, this certificate verifies the volume of air being extracted through the fan and compares it with the performance requirement.
• PEATA Certificate: This certificate is used to certify the performance of the ventilation system.
• Airflow Test Certificate: This certificate ensures that the ventilation system operates as intended and performs in line with the design.
  These certificates are crucial for ensuring that the ventilation system meets the necessary standards and functions correctly, contributing to the overall health and safety of the building occupants

Lead Data Engineer (with Data Analytics Background)

Location: City Of London

Employment Type: Full-time

Salary: 90,000 - 100,000k

Sector: Fintech / Payments

Overview

We are looking for a highly skilled Lead Data Engineer with a strong foundation in data analytics to join a growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You’ll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform’s evolution.

This is a hands-on role where you’ll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team’s velocity.

Key Responsibilities

• Design, develop, and maintain data models to support analytical and operational use cases.
• Write efficient, production-grade SQL to build data pipelines and transformations.
• Develop and maintain data workflows and automation scripts in Python.
• Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
• (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
• Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

Skills & Experience

• 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
• Proven expertise in SQL and building complex data models.
• Strong proficiency in Python for data processing, ETL, and workflow automation.
• Experience with cloud data platforms (Snowflake experience highly desirable).
• Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
• Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

• Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
• Understanding of CI/CD pipelines and data infrastructure automation.
• Familiarity with data governance, security, and best practices in a cloud environment.

Senior Full-Stack Engineer

We are seeking a high-impact Senior Full-Stack Engineer to join a growing technology team for a leading investment house supporting market data services within a regulated, enterprise environment.

This role sits at the intersection of data engineering, full-stack development, and business engagement, working closely with stakeholders and external vendors to design and deliver robust, scalable technology solutions aligned to a strategic roadmap.

What you’ll do

• Design, build, and maintain reliable, scalable data pipelines supporting complex analytical and sustainability data workloads.
• Ensure data quality, governance, and robustness through modern data engineering practices, automated validation, monitoring, and testing.
• Own and evolve data models and system integrations across multiple platforms and third-party services.
• Deliver data analysis, reporting, and visualisation to support business and technology objectives.
• Lead incident investigation and root-cause analysis for data-related issues, driving continuous improvement.
• Collaborate with enterprise data teams to contribute to data architecture and governance.
• Act as a bridge between technical and non-technical stakeholders, clearly communicating progress, risks, and requirements.
• Contribute to the future data roadmap, including the adoption of AI and emerging data technologies.

What we’re looking for

• MUST have 5+ years’ experience in data or software engineering within financial services or a similar regulated industry.
• Strong full-stack experience with Python, Java (Spring Boot), React, SQL, and relational databases.
• Hands-on experience with modern data engineering tools (eg Airflow, Spark, Kafka, dbt, Snowflake or similar).
• Experience with cloud platforms, containerisation (Docker/Kubernetes), and CI/CD pipelines.
• Solid understanding of data governance, validation, and compliance.
• A strong advocate for automated testing, observability, and engineering best practice.
• Excellent communication skills and the ability to collaborate in agile, cross-functional teams.

Desirable

• Experience with infrastructure as code (Terraform, Helm).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).
• Exposure to regulated environments and associated data controls.

Role: Data Engineer

Location:?Bournemouth, UK (?5 days per week in the office)

Type: Permanent

Note: VISA Sponsorship is not available

Requirement:

We are seeking a skilled Data Engineerto join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions.

Key Responsibilities

End-to-End Data Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelinesfor collecting, transforming, and delivering data across systems.
• Ensure data quality, reliability, and timelinessthroughout the pipeline.

Data Integration & Movement

• Develop secure and efficient solutions for data movementbetween internal and external systems.
• Work with both structured and unstructured data sources.

Analytical Insights

• Analyze large datasets to extract actionable insightsand present findings in a business-friendly format.
• Collaborate with data scientists and business stakeholdersto identify opportunities for impactful analysis.

Algorithm Support

• Provide clean, well-structured data to support predictive models and algorithmsfor cash forecasting and fund movement.

Collaboration & Communication

• Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
• Document processes and share knowledge with team members.

Required Qualifications

• Proven experience in designing and building data pipelines (ETL/ELT)using modern technologies (Python, SQL, Spark, Airflow, etc.).
• Strong analytical skills with the ability to interpret complex data and deliver business value.
• Experience integrating data from multiple sources and systems.
• Familiarity with cloud data platforms(AWS, Azure, GCP) and big data technologies.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.

Preferred Qualifications

• Awareness or experience with financial concepts, especially in banking or cash management.
• Experience supporting predictive analytics or machine learning workflows.
• Knowledge of data governance, security, and compliancein financial services.

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/Once a month)

VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a lead data engineer to lead the design of their platform within the Google Cloud Platform (GCP). The role will involve an even split of technical engineering, architecture and leadership/people management. Due to the seniority of this role, candidates must have hands on experience with GCP.

Requirements for the Lead Data Engineer:

• Experience line managing teams of data professionals.
• Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.
• Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions.
• Hands on skills across the GCP tech stack, SQL and Python.
• Ability to lead cultural change across organisations, and manage senior stakeholders.
• Ability to work across multiple contexts and teams.

Job Duties of the Lead Data Engineer:

• Lead the architecture, best practise and engineering strategy of data squads.
• Hands on data engineering work, utilising both python and SQL.
• Mentor and lead teams of engineers, checking and reviewing code, and setting standards.
• Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.
• Design and help build the data platform - ensuring data is processed through semantic layers and can be modelled effectively.
• Lead changes across the organisation, adopting a decentralised design.

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/Hybrid)

Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (see below)

Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply).

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/ Once a month)

VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a lead data engineer to lead the design of their platform within the Google Cloud Platform (GCP). The role will involve an even split of technical engineering, architecture and leadership/people management. Due to the seniority of this role, candidates must have hands on experience with GCP.

Requirements for the Lead Data Engineer:

• Experience line managing teams of data professionals.
• Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.
• Deep understanding of Data Mesh/ decentralised design and Data Lake/Warehouse solutions.
• Hands on skills across the GCP tech stack, SQL and Python.
• Ability to lead cultural change across organisations, and manage senior stakeholders.
• Ability to work across multiple contexts and teams.

Job Duties of the Lead Data Engineer:

• Lead the architecture, best practise and engineering strategy of data squads.
• Hands on data engineering work, utilising both python and SQL.
• Mentor and lead teams of engineers, checking and reviewing code, and setting standards.
• Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.
• Design and help build the data platform ensuring data is processed through semantic layers and can be modelled effectively.
• Lead changes across the organisation, adopting a decentralised design.

Role: Lead Data Engineer

Salary: £85,000 - £95,000 per annum

Location: Manchester (Remote/Hybrid)

Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed)

Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment

Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.

What Youll Do:

Build, test, and maintain ETL/ELT pipelines for structured and unstructured data.

Design and optimise data warehouses, lakes, and cloud-native platforms .

Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards).

Deliver high-quality datasets to analysts, data scientists, and business stakeholders.

Work with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks .

What Were Looking For:

Strong SQL & Python skills.

Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory).

Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable).

Solid data modelling knowledge and performance optimisation skills.

Awareness of data governance, security, and regulatory compliance .

Ability to work closely with technical and business teams to deliver impactful solutions.

Nice-to-Haves:

Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).

CI/CD experience and DevOps practices for data workflows.

Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).

Experience in financial services or other highly regulated industries.

TPBN1_UKTJ

Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices.
Salary up to £65k plus company benefits.

About Us

Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years’ experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers.

At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you’re valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you’ll be trusted, challenged, and empowered to grow.

We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you’re passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you.

Glassdoor score of 4.7

96% of our staff would recommend Triad to a friend

100% CEO approval

See for yourself some of the work that makes us all so proud:

Helping law enforcement with secure intelligence systems that keep the UK safe

Supporting the UK’s national meteorological service in leveraging supercomputers for next-level weather forecasting

Assisting a UK government department responsible for consumer product safety with systems to track unsafe products

Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport

Role Summary

Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS.

Create and manage data models that support efficient storage, retrieval, and analysis of data.

Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions.

Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure.

Develop, optimise and maintain robust data pipelines using Apache Airflow.

Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use.

Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements.

Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability.

Identify data quality issues and implement data validation and cleansing processes.

Maintain clear and comprehensive documentation covering data pipelines, models, and best practices.

Work within a continuous integration environment with automated builds, deployments, and testing.

Skills and Experience

• Strong experience designing and building data pipelines on cloud platforms, particularly AWS.
• Excellent proficiency in developing ETL processes and data transformation workflows.
• Strong SQL skills (postgresql) and advanced Python coding capability (essential).
• Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential).
• Understanding of Terraform codebases to create and manage AWS infrastructure.
• Experience developing, optimising, and maintaining data pipelines using Apache Airflow.
• Familiarity with distributed data processing systems such as Spark or Databricks.
• Experience working with high-performing, low-latency, or large-volume data systems.
• Ability to collaborate effectively within cross-functional, agile, delivery-focused teams.
• Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy.

Qualifications & Certifications

• A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable).
• Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK.

Triad’s Commitment to You

As a growing and ambitious company, Triad prioritises your development and well-being:

• Continuous Training & Development: Access to top-rated Udemy Business courses.
• Work Environment: Collaborative, creative, and free from discriminatioBenefits:
  • 25 days of annual leave, plus bank holidays.
  • Matched pension contributions (5%).
  • Private healthcare with Bupa.
  • Gym membership support or Lakeshore Fitness access.
  • Perkbox membership.
  • Cycle-to-work scheme.

What Our Colleagues Have to Say

Please see for yourself on Glassdoor and our “Day in the Life” videos at the bottom of our Careers Page.

Our Selection Process

After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for:

1. A technical test including numerical, logical and verbal reasoning
2. A technical interview with our consultants
3. A management interview to assess cultural fit

We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation.

Other Information

If this role is of interest to you or you would like further information, please contact Ryan Jordanand submit your application now.

Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

Role
Senior Data Engineer (Data Platform)

Salary
80,000 to 95,000 base salary

Location
London Paddington Hybrid 3 days a week

The Company
WeDo is working with a high growth fintech operating regulated payment platforms across multiple countries. As the business continues to expand internationally, data engineering has become a core strategic function, with significant investment in scalable, reliable, and automated data platforms.

The Position
This is a Senior Data Engineering role within the Regulatory Reporting function, focused on building a new data platform to support international growth.

The team currently delivers regulatory reporting for six countries and is scaling to more than thirty. Each country has different reporting rules, formats, and submission processes, creating a complex and highly impactful engineering challenge.

You will play a key role in designing and building this platform from the ground up, owning data models, pipelines, orchestration, and submission workflows. You will work closely with the core Data Engineering platform team while retaining clear ownership of the regulatory reporting layer.

The role is strongly engineering focused rather than BI oriented. You will work with both batch and real time data, integrate with microservices, and help transition the platform towards event driven architecture. Accuracy and reliability are critical, as these outputs are submitted directly to regulators.

This is an excellent opportunity for a senior data engineer looking for ownership, architectural influence, and a platform that will grow significantly in scale and complexity.

Requirements

• Strong experience designing and building data platforms and data architectures
• Hands on experience with design and build of cloud data warehouses
• Snowflake experience is desirable, though Redshift or Synapse are also suitable
• Experience with data orchestration tools such as Airflow or Prefect
• Strong coding ability in Python, Java, or Scala
• Experience building data infrastructure from scratch
• Comfortable working with both batch and streaming data
• Experience integrating data platforms with microservices and real time systems

Interested?
Apply for the position or send your CV to (url removed)

Your new company
Working for a Multinational Telecommunications Organisation

Your new role
Seeking a skilled Business Intelligence Analyst to build and manage our reporting governance framework, connect and model data from Google Cloud Platform (GCP) into Power BI, and drive automation across our analytics workflows. This role will be central to creating scalable, reliable dashboards and ensuring the organisation has a consistent, trusted reporting ecosystem.

What you’ll need to succeed
Technical Skills:

• Strong experience in Power BI: data modelling, DAX, performance optimisation, and dashboard design.
• Hands-on experience with Google Cloud Platform (GCP), ideally BigQuery.
• Proficiency in SQL for data transformation and optimisation.
• Experience with automation tools such as Python, Airflow, dbt, Power Automate, or similar.
• Understanding of data security, permissions, and governance best practices.

Soft Skills:

• Excellent communication and ability to translate complex data concepts to non-technical stakeholders.
• Strong organisational ability with attention to detail and documentation.
• Proactive mindset with the ability to drive best practices across reporting and analytics.

What you’ll get in return
Flexible working options available.
Access to market leading technology.

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.

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)