Job title: SAS Platform Environment & Configuration Engineer

Rate: 515 per day inside ir35

Duration: 6 months START DATE: 01/06

Location: Telford with 2 days/week in office

Candidates must be willing and eligible to go through SC security clearance for this role

Role Overview:

Join a high-impact programme consolidating critical services into a single, centralised data platform-reducing complexity, driving efficiency, and supporting future scalability across the business. You’ll play a key role within the Minerva Platform release team, helping scale capability to support a major transformation initiative involving SAS Viya, cloud migration, and modern platform engineering practices.

• Work on a large-scale platform consolidation project with real business impact
• Hands-on with SAS Viya 4, Kubernetes, and cloud-native environments
• Blend of platform engineering, DevOps, and environment ownership
• Join a growing team with increased investment and long-term roadmap

Responsibilities

• Design, build, and support SAS environments (9.4, Viya 3.5 & Viya 4)
• Lead migration to cloud-native SAS Viya 4 (Kubernetes, multi-tenancy)
• Manage environment configuration, deployments, and platform stability
• Integrate with Oracle, GitLab CI/CD, and enterprise systems
• Drive automation, performance optimisation, and high availability
• Support users and troubleshoot across dev, test, and production landscapes

Required skillset:

• Strong experience across SAS (EG, DI Studio, SAS Studio, VA/VI)
• Proven background in SAS Viya (3.5 / 4) configuration & migration
• Experience with Kubernetes, containerisation, or cloud platforms (AWS/Azure)
• Solid understanding of environment management, deployments & testing lifecycle
• Exposure to CI/CD pipelines (GitLab), automation, or IaC

Nice to have:

• Experience with Airflow or scheduling tools
• Broader DevOps / platform engineering mindset

If you are interested in this role, please feel free to submit your CV.

Clearance Required: SC

An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments.

You will work across technical and business teams to design, develop and deploy AI enabled automation capabilities that integrate into existing enterprise systems.

The Role

You will support the delivery of AI driven automation initiatives across secure programmes. The position requires strong technical capability combined with stakeholder engagement and risk awareness.

Key Responsibilities

• Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows.
• Analyse business processes with stakeholders to identify automation opportunities and define clear requirements.
• Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering.
• Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability.
• Collaborate with data scientists, software engineers and IT teams to ensure seamless deployment.
• Produce clear technical documentation and performance reporting.
• Support contract discussions, stakeholder engagement and business risk considerations where required.

Technical Skills Required

• Proficiency in programming languages such as Python, Java, C# or R.
• Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices.
• Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow.

Experience and Capability

• Strong experience delivering AI or automation solutions within enterprise environments.
• Ability to work with cross functional teams and translate technical solutions into business value.
• Experience operating within controlled or regulated environments.
• Strong written and verbal communication skills.
• Experience supporting stakeholder engagement and business risk management.

This role suits a technically credible AI professional who can design and implement automation solutions while engaging effectively across secure and regulated programmes.

To apply, please send your CV by pressing the apply button

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

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

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

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

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

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

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

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

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

Reasonable Adjustments:

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

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

TPBN1_UKTJ

Data Products Engineer - Contract - 6 months +

Data Engineer / Data Analyst / Analytics / SQL / Python

Not every data role is about dashboards or ad-hoc analysis.

This one is for someone who enjoys getting close to the data itself taking messy, real-world raw data and turning it into clean, reliable datasets that other teams and clients can actually trust and use.

It’s a hands-on role sitting at the intersection of data modelling, quality and product thinking, with plenty of ownership and room to influence how data products are designed and evolved.

What you’ll be working on

You’ll be part of a Data Products team responsible for shaping behavioural data into well defined, client ready datasets.

Day to day, you will:

• Design and evolve data schemas and fields, turning product requirements into clear, well modelled datasets
• Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling
• Apply business logic, validation rules and quality checks across large datasets
• Investigate data issues and improve reliability, consistency and trust in the outputs
• Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements
• Keep documentation clear, current and genuinely useful

This is a role for someone who cares about how data is structured, named and validated, not just whether a query runs.

Who this role suits

This role is a good fit if you:

• Enjoy working hands on with data rather than sitting at arm’s length from it
• Like figuring out how real-world digital behaviour should be represented cleanly
• Care about data quality, edge cases and consistency
• Are comfortable collaborating with engineers, product managers and non technical stakeholders
• Are open to using AI tools to speed up understanding and reduce repetitive work

You’ll likely bring:

• Strong SQL skills and experience working with large datasets
• Experience with at least one data-friendly language (such as Python)
• A high level of attention to detail
• Clear communication skills and a collaborative mindset

Nice to have (but not essential):

• Experience with event-level or behavioural data (web, apps, ads, etc.)
• Awareness of privacy and governance considerations
• Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks)

How you’ll work

• Hybrid role, Manchester-based
• 2 days per week in the office, the rest flexible
• Flexible start and finish times

Data Products Engineer / Data Analyst / Analytics / Data Engineer

For further details and to apply, please send your CV to jon.brass @ circlerecruitment.com

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.

Environment & Config Engineer
Duration: 6 months
Location: Telford with 2 days/week in office
IR35 Status: Mandated PAYE only

We are heading up a recruitment drive for a global consultancy that require a SC Cleared Environment & Config Engineer to join them on a major government project that’s based in Telford.

Job Description:
This project aims to unify RSDD APIs TXR002 and ADE into a single service that will act as the central calculations data provider for all current and future consumers. Both services-TXR002 and ADE-are functionally equivalent but serve different consumers. By consolidating them, the project seeks to reduce service complexity, eliminate confusion, and streamline change management efforts across impacted domains, contributing to overall cost savings.

• This role will form part of the release management team within Minerva Platform to increase the exsiting capcity to support the additonal project work.

Environment & Config Engineer

The SAS Platform Environment and Configuration Engineer is responsible for the setup, configuration, and ongoing support of SAS environments across development, test, and production landscapes. This includes managing deployments, ensuring platform stability, and supporting integration with technologies such as Oracle and Microsoft 365.

The role is critical to enabling secure, scalable, and performant analytics platforms, particularly in the context of SAS Viya migrations and multi-tenant deployments.

Key Responsibilities:

• Design, configure, and maintain SAS environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4.
• Support the migration of Legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration.
• Implement and manage configuration objects, service data, and translation objects within SAS environments.
• Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD pipelines, and other enterprise platforms.
• Monitor and optimise platform performance, ensuring high availability and compliance with security standards.
• Provide technical support and troubleshooting for SAS users and developers.
• Automate environment provisioning and data transfers using approved EA integration patterns.
• Participate in community knowledge sharing and contribute to best practice documentation.

Essential Skills and Experience:

• SAS Enterprise Guide (EG) - workflow orchestration and user support.
• SAS Data Integration Studio (DI) - job development and deployment.
• SAS Studio - job development and deployment.
• SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes).
• SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support.
• Oracle - integration and data pipeline support.
• Configuration Management - experience managing service objects, deployment artefacts, and environment baselines.
• Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration.

Desirable Attributes:

• Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker).
• Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
• Knowledge of scheduling tools - Airflow
• Strong documentation and communication skills.
• Ability to work collaboratively across multidisciplinary teams.
• The successful candidate will also need to be SC Vetted.

Job Title: Environment & Configuration Engineer (SAS)
Max Rate: £550p/d via Umbrella
Clearance Required: SC is required - candidate cannot start until SC is approved (transfer/share or new application)
Duration: 6 months
Location: Telford with 2 days/week in office

Job Description:

Key Responsibilities:
Design, configure, and maintain SAS environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4.
Support the migration of Legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration.
Implement and manage configuration objects, service data, and translation objects within SAS environments.
Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD pipelines, and other enterprise platforms.
Monitor and optimise platform performance, ensuring high availability and compliance with security standards.
Provide technical support and troubleshooting for SAS users and developers.
Automate environment provisioning and data transfers using approved EA integration patterns.
Participate in community knowledge sharing and contribute to best practice documentation.

Essential Skills and Experience:
SAS Enterprise Guide (EG) - workflow orchestration and user support.
SAS Data Integration Studio (DI) - job development and deployment.
SAS Studio - job development and deployment.
SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes).
SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support.
Oracle - integration and data pipeline support.
Configuration Management - experience managing service objects, deployment artefacts, and environment baselines.
Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration.

Desirable Attributes:
Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker).
Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
Knowledge of scheduling tools - Airflow
Strong documentation and communication skills.
Ability to work collaboratively across multidisciplinary teams.
The successful candidate will also need to be SC Vetted.

AHU Commissioning & Service Engineer
Suitable for: HVAC Commissioning Engineer | Air Handling Unit Commissioning Engineer | HVAC Service & Commissioning Engineer | Ventilation Commissioning Engineer | Building Services Commissioning Engineer | HVAC Field Service Engineer

Overview

A leading HVAC manufacturer is seeking an experienced Commissioning & Service Engineer to support its growing installed base across London and the South of England. The company is a recognised supplier of commercial ventilation and air handling solutions used across healthcare, commercial, education and industrial buildings.

Due to continued growth and increased demand for commissioning and technical support, they are expanding their field engineering team. The role focuses primarily on commissioning, diagnostics and technical support for complex air handling equipment.

The Role

This position centres on the commissioning, fault finding and technical support of commercial air handling equipment across new build and refurbishment projects.

Engineers will work closely with mechanical contractors, commissioning managers and consultants to ensure systems are correctly set up, operating efficiently and meeting design performance.

Key responsibilities include:

• Commissioning of commercial Air Handling Units (AHUs) on live projects
• Functional testing, airflow verification and performance validation
• Fault finding and technical diagnostics on ventilation systems
• Working with integrated systems including heat pumps and refrigeration-based cooling elements within AHUs
• Providing technical support to contractors during installation and commissioning stages
• Occasional service visits and troubleshooting of installed equipment
• Producing commissioning reports and documentation

The role is field based, covering London and the South of England, with travel depending on project locations.

Requirements

• Experience commissioning or servicing commercial AHUs / ventilation systems
• Strong fault-finding and diagnostic capability within HVAC systems
• Knowledge of airflow balancing, controls and system performance testing
• Experience working on commercial building services projects
• Desirable: refrigeration knowledge (beneficial for units with integrated cooling or heat pump systems)
• Ability to liaise with mechanical contractors, consultants and site teams
• Full UK driving licence

Engineers from HVAC commissioning, ventilation service or refrigeration backgrounds will be considered.

Package

• Salary: £40,000 - £50,000 depending on experience
• Company vehicle
• Field-based role covering London & South of England
• Manufacturer training on specialist equipment
• Long-term stability with a well-established HVAC manufacturer

WR HVAC | M&E are #1 recruitment partner for HVAC jobs. Our customers include a range of large and small M&E companies, manufacturers and suppliers of heating, ventilation, air conditioning and refrigeration equipment. We recruit UK wide for sales, management and technical jobs.

WR is acting as an Employment Agency in relation to this vacancy.

Role Title: Release Manager

Duration: contract to run until 10/11/2026

Location: Telford, Hybrid 2 days per week onsite

Rate: up to 552 p/d Umbrella inside IR35

Clearance required: Ideally must hold Active SC clearance but if not you must be eligible for SC Clearance

Role purpose / summary

This project aims to unify RSDD APIs TXR002 and ADE into a single service that will act as the central calculations data provider for all current and future consumers. Both services-TXR002 and ADE-are functionally equivalent but serve different consumers. By consolidating them, the project seeks to reduce service complexity, eliminate confusion, and streamline change management efforts across impacted domains, contributing to overall cost savings.

This role will form part of the release management team within Minerva Platform to increase the existing capacity to support the additional project work.

Release Manager

Purpose:

The Release Manager will be responsible for planning, coordinating, and overseeing the deployment of software releases across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle.

Key Responsibilities:

• Own and manage the end-to-end release process across development, test, and production environments.
• Coordinate with development, testing, and operations teams to ensure timely and quality releases.
• Maintain and enforce configuration management standards using manifest files and structured release artefacts.
• Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files).
• Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using CI/CD practices and Capgemini accelerators.
• Facilitate release readiness reviews, go/no-go decisions, and post-release retrospectives.
• Ensure traceability and auditability of all release components and decisions.

Required Skills & Experience:

Technical Skills:

• SAS Enterprise Guide (EG) - experience in job orchestration and user migration support.
• SAS Data Integration (DI) - packaging and deployment of DI jobs using manifest structures.
• SAS Management Console - Used for promotion & Management of code.
• SAS Studio - job development and deployment.
• SAS Viya 3.5 / Viya 4 - hands-on experience with modernised SAS platforms and migration strategies.
• SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - familiarity with reporting and investigation tools.
• Oracle - working knowledge of Oracle databases, particularly in data staging and decisioning workflows

Process Knowledge:

• Configuration Management - experience managing artefact groupings, dependencies, and release hierarchies
• Testing Lifecycle - understanding of test strategy, planning, execution, and defect management within release cycles.

Soft Skills:

• Strong communication and stakeholder engagement abilities.
• Methodical and detail-oriented approach to planning and execution.
• Ability to work under pressure and manage competing priorities.
• Desirable Qualifications:
• Experience in the client or similar public sector environments.
• Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS).
• Knowledge of scheduling tools - Airflow
• Exposure to SAS Migration Factory Delivery Models.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

London / Reading – Hybrid £60,000 – £70,000 Azure Data / SQL / NHS I’m currently working with a growing data and technology consultancy who are looking to add a Data Engineer to their expanding delivery team. The company work with organisations across several industries including telecommunications, financial services, insurance and healthcare, helping them design and build modern data platforms and analytics capabilities. As part of a client-facing consulting team, you will work on a variety of data engineering projects, many of which will be healthcare based where you will help build, transform and structure large datasets so they can be used for reporting, analytics and operational systems. The role will involve working closely with internal teams and client stakeholders to design scalable data pipelines and ensure reliable data delivery across modern cloud platforms. The company have 2 sites in London and Reading and would be looking for 2 days a week in the office. Key Responsibilities • Develop and maintain data pipelines using Azure Data Factory (ADF) • Build and manage ETL processes using SQL and Python • Work with Azure Databricks and Azure SQL / SQL Server to process and store large datasets • Design and implement data models using Kimball, 3NF or dimensional modelling techniques • Build metadata-driven pipelines to automate data processing • Collaborate with cross-functional teams to understand client data requirements and deliver appropriate solutions • Ensure data quality, integrity and security throughout the pipeline lifecycle Experience Required • Strong experience working within Azure data environments • Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL / SQL Server • Proficiency with SQL and Python • Have previously worked in Healthcare or NHS environments. • Understanding of modern data architectures such as medallion architecture • Experience working with data formats such as JSON, CSV and Parquet • Understanding of cloud security, IAM and networking concepts • Familiarity with Agile delivery environments • Experience with CI/CD pipelines (Azure DevOps or similar) Nice to Have • Exposure to Apache Airflow or dbt • Experience with BigQuery (GCP) • Azure or cloud platform certifications • Experience with data governance frameworks Salary: £60,000-£70,000 Benefits: 25 Days Holiday, Bonus, Share Scheme, Health Insurance, Pension, Life Assurance If this role sounds of interest, please apply and I can give you a call. Tim Stock (phone number removed) | (phone number removed) (url removed) (url removed)

Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite. Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile. Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance. Responsibilities Build data pipelines that clean, transform, and aggregate data from disparate sources Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Required Skills and Experience Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker / Kubernetes / Openshift) Testing frameworks and best practices We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application. TPBN1\_UKTJ

AWS Data Engineer | 6m Contract | London, Hybrid - Outside IR35 Daily Rate: £570 per day (Outside) Team: Data Engineering - Application Development Overview: Opus have partnered with a London Financial Services company who're seeking a Senior AWS Data Engineer with a background in Application Development to support in architecting and delivering a new PostgreSQL‑driven data platform which will be used to support core functions across investment reporting, risk analysis, regulatory output, and performance measurement. This is a high‑impact greenfield build. You’ll take full ownership of the platform’s design and lead the transition away from Databricks and Excel-centric processes—shaping critical infrastructure that underpins the organisation’s investment operations. What You’ll Work On You’ll be responsible for designing and developing a scalable, secure PostgreSQL environment capable of supporting: Portfolio valuation and holdings data Performance and attribution reporting Risk and analytics outputs Regulatory and trustee disclosures Data governance and operational controls You’ll also oversee the migration of structured datasets from Databricks (Delta Lake/Spark) and replace manual Excel workflows with automated, well-governed pipelines to meet audit and regulatory standards. Key Responsibilities Build and maintain a secure PostgreSQL-based data platform Lead the shift away from Databricks and spreadsheet‑dependent reporting Create dimensional data models covering investments, pricing, performance and related domains Develop reliable ETL/ELT processes in Python Implement data quality, reconciliation and validation controls Optimise database performance for analytical and reporting workloads Ensure compliance with FCA and TPR regulatory guidelines Set up access controls, security standards and permissioning Establish monitoring, backup and disaster recovery solutions Collaborate closely with investment, risk and finance teams Essential Skills & Experience 5+ years’ experience in data engineering, application development or data platform roles Strong PostgreSQL knowledge, including indexing, optimisation and partitioning Background in financial or investment data environments Advanced SQL and Python skills Experience migrating data from platforms like Databricks Confident with dimensional modelling, star schemas, SCDs etc. Experience within regulated financial services Desirable Experience in pensions, asset management or institutional investing Understanding of performance measurement and attribution Exposure to Airflow or dbt Cloud platform familiarity (Azure or AWS) Knowledge of data governance best practice About You Highly detail‑driven with a strong approach to data quality Comfortable operating in tightly regulated sectors Able to explain technical concepts clearly to non‑technical audiences Practical, proactive and solution‑focused Why This Role? A rare opportunity to build core investment data infrastructure from the ground up High visibility and direct engagement with senior stakeholders across multiple business areas Stable organisation with long‑term goals and purpose Flexible hybrid arrangement requiring only occasional travel to the London office

Job Title: Senior Technical Lead
Location: Norwich, Norfolk (3 Days a week)
Job Type: Contract (Inside IR35)
Duration: 6 Months The Role

We are looking for a Senior Technical Lead who combines hands-on engineering excellence with strong leadership and stakeholder management. You will own the end-to-end technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale.

This is a player-coach role: you will design, build, review, and optimize complex data workflows while mentoring engineers and driving engineering best practices.

Ideal for: Someone who has delivered multiple production programs in a modern AWS data engineering landscape, can communicate trade-offs clearly to senior stakeholders, and can lead teams through ambiguity to predictable, high-quality outcomes.

Your Responsibilities:

• Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow).
• Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows.
• Own the technical roadmap, decomposition, and delivery plan-including sizing, sprint planning, and risk mitigation.
• Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry/backoff strategies in Airflow).
• Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations/Deequ-style checks, validations).
• Act as the technical point of contact for Senior Architects, and Program Managers; translate business needs into technical designs and delivery milestones.
• Present architecture decisions, trade-offs, and TCO to senior stakeholders with clarity, data, and rationale.
• Manage vendor/partner coordination where relevant.
• Establish coding standards, code review practices, branching strategies, and secure-by-design principles.
• Implement DevSecOps for data: infrastructure-as-code (IaC), secrets management, environment promotion, and automated testing.
• Ensure compliance with data governance, security, and regulatory requirements (e.g., PII/PCI, encryption, auditability, lineage).
• Mentor and upskill engineers; foster a culture of learning, ownership, and continuous improvement.

Your Profile

Essential skills/knowledge/experience:

• 10+ years of total experience in software/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment.

Advanced hands-on expertise with:

• Python (including PySpark & data engineering patterns)
• AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks)
• MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs, task isolation, best practices)

Strong across broader AWS services:

• S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have)
• Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance).
• Excellent stakeholder communication and executive presence; able to engage Directors, Senior Architects, and Program Leadership.
• Solid grounding in data modeling, data governance, security/compliance, and cost optimization on AWS.
• Experience with CI/CD (e.g., CodePipeline/GitHub Actions/Bitbucket Pipelines), IaC (CloudFormation/Terraform), and containerization (Docker).
• Architectural thinking: designs for scale, reliability, cost, and evolvability.
• Delivery excellence: breaks down complex work, sets milestones, manages risks, and delivers on time.
• Communication & influence: distills complexity for senior stakeholders; backs decisions with data.
• Hands-on leadership: sets the technical bar through reviews, pairing, and exemplars.
• Ownership & clarity: aligns teams on problem statements, success criteria, and measurable outcomes.

Languages:

• Python (PySpark), SQL

AWS:

• Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice)

DevOps:

• Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker

Data Quality/Observability:

• Great Expectations/Deequ (nice), OpenLineage (nice)

Desirable skills/knowledge/experience:

• Domain experience in BFSI (risk, pricing, regulatory reporting, underwriting, fraud, payments, or actuarial data).
• Experience with event-driven and near-real-time pipelines (Kafka/Kinesis, streaming ETL).
• Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra).
• Exposure to Databricks or EMR for advanced Spark workloads.
• Certifications: AWS Solutions Architect / Data Analytics / DevOps Engineer.
• Prior experience leading multi-team programs with offshore/nearshore models.

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

DV Data ScientistLocation: RAF Wyton, Huntingdon (45 days onsite)Clearance: Active DV EssentialContract: 12 months Inside IR35 (extension likely up to 3 years) or Permanent roleRate: Negotiable
Programme Overview
Arqtech Search is supporting a defence delivery partner on a secure data transformation programme within an RAF operational environment. The programme focuses on designing, sustaining and evolving secure data platforms that underpin intelligence, surveillance and operational decision-support capabilities. The Data Scientist will play a critical role in delivering resilient, maintainable, and scaleable AI solutions.

Key Responsibilities

• Maintain and continuously improve the AS AI computer vision model operating in production.
• Support and manage the COTS model to ensure consistent performance.
• Expand the solutions functionality through ongoing development, introducing additional features and new use cases.
• Uphold adherence to security, ethical, and regulatory requirements.
• Deliver AI solutions that are robust, maintainable, and scalable.

Required Skills

• Programming: Advanced proficiency in Python.
• ML Engineering & MLOps: Hands-on experience with widely used ML tooling (e.g., MLflow, Airflow, Docker, Kubernetes).
• CI/CD & DevOps: Familiarity with CI/CD workflows and automation tools (e.g., GitLab, Jenkins) for streamlined deployments.
• Data Engineering Fundamentals: Knowledge of ETL (Extract, Transform, Load) processes, data warehousing, and streaming architectures.
• System Architecture: Experience designing and implementing scalable, cloud-native pipelines and systems.

Due to nature of this work, active DV clearance is essential and 5 days per week are required on-site in RAF Wyton for a 9 day condensed working week (every other Friday off).We cannot consider candidates who do not currently hold an active DV clearance.

Air Source Heat Pump Service Engineer (Manufacturer)

Hounslow - M25 Patch

£50,000 - £55,000 + Overtime + Progression + Training + Company Benefits + Local Patch

Are you from a Heat Pumps, HVAC or MVHR background that wants to join a global leading business with unparalleled progression in to Warranty Inspector or Commissioning Engineer?

Do you want to work for a company that puts its staffs wellbeing at the forefront of all decisions, has fantastic long term staff retention with overtime opportunities?

This company have gone from strength to strength in the last decade due to their products being best in class and rivalling the usual go to names. They have taken huge amount of market share across Europe and are now finding the same success in the UK.

In this role you will be working the M25 patch with other inspectors, your jobs will be organised in location meaning you won’t be spending all day in traffic and be able to return home at a reasonable hour.

This business are the UK supplier of ventilation, heat recovery, and heat pump systems, providing warranty support, technical diagnostics, commissioning assistance, and product expertise to installers, developers, and end-users.

This position supports our role as the primary UK technical contact for their systems, offering advanced site-based troubleshooting and controller configuration when third-party engineers are unable to resolve issues.

THE ROLE:

London M25 patch shared with other inspectors
Carrying out diagnostics and commissioning
Performing airflow balancing and assisting with system commissioning
Diagnosing issues with controllers, heat pump components, airflow performance and ventilations issuesTHE PERSON:

Experience in either, HVAC, MVHR, or Heat Pumps
London based
Full UK driving licenseReference: BBBH23350

Keywords: AC, HVAC, Air Con, Heat Pumps, Heat Exchange, Airflow, Testing, Field, M25, London,

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skillset.

Ernest Gordon 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 our website

Founding Engineer (EnergyTech / AI)

London Hybrid (3 days onsite) 70k- 120k + Equity

A venture-backed EnergyTech start-up is building a new type of power company designed for the electrified future.

As renewable energy adoption accelerates, the challenge is no longer just generating power, but storing, managing, and intelligently dispatching it. This team is developing software that sits at the centre of that transition, enabling a new generation of energy suppliers built around flexibility, storage, and intelligent automation.

Backed by leading investors and founded by operators with experience from some of the most respected names in the European energy ecosystem, the business has already launched its first product and is growing rapidly month-on-month. The next phase is building the core technology platform that will power a fully integrated energy supplier launching later this year.

This is an opportunity to join a small, highly capable engineering team building core infrastructure for a next-generation energy platform.

The Role

You will work across the full product stack, helping design and build the systems that power both the customer experience and the operational backbone of the platform.

Engineers here take ownership of problems end-to-end, from shaping early ideas through to delivering production features used by customers.

Responsibilities include:

• Building full-stack product features across web, backend services and data systems
• Designing APIs and integrating with hardware and energy data platforms
• Developing AI-enabled capabilities, including LLM-powered workflows and operational tooling
• Contributing to core supplier infrastructure such as billing systems, operational tooling, and internal platforms
• Working closely with founders and customers to shape the product direction

Tech Stack

• Frontend: React, React Native, TypeScript
• Backend: Python, FastAPI, PostgreSQL
• Infrastructure: GCP, Terraform, Airflow
• AI: LLM integrations and AI-driven automation

What They’re Looking For

• Experience as a Full-Stack Engineer building production systems
• Strong engineering fundamentals and the ability to work across backend and frontend systems
• Comfort operating in a fast-moving start-up environment where priorities evolve quickly
• A proactive mindset with a bias towards ownership and solutions
• Interest in the energy transition or climate technology is a strong plus

Engineers who thrive here tend to enjoy working close to the problem, communicating clearly across technical and non-technical teams, and taking initiative rather than waiting for direction.

Package

• 70k- 120k salary depending on experience
• Meaningful equity
• Private health insurance
• Meal allowance and team dinners
• Hybrid working (London office 3 days per week)

Ventilation Engineer (MVHR & Ventilation Systems Specialist)

Location: South UK
Salary: £38,000 £42,000 per annum (DOE)
Company: RGE Services

RGE Services is a growing and reputable engineering services company specialising in ventilation and air management solutions across residential and commercial properties. Due to continued expansion, we are looking for an experienced and motivated Ventilation Engineer to join our team.

The Role

As a Ventilation Engineer, you will be responsible for the installation, maintenance, relocation, and replacement of a wide range of ventilation systems. This is a field-based role requiring high standards, strong fault-finding skills, and the ability to work independently.

Key Responsibilities

• Installation, servicing, and commissioning of MVHR (Mechanical Ventilation with Heat Recovery) systems
• Maintenance, fault diagnosis, and repair of ventilation fans
• Installation and servicing of extraction units (bathroom, kitchen, whole-house systems)
• Working on MEV (Mechanical Extract Ventilation) systems
• Maintenance and replacement of inline fans, centrifugal fans, and commercial ventilation units
• Ductwork installation, modification, and system upgrades
• System balancing and airflow testing
• Relocation and replacement of existing ventilation systems
• Ensuring compliance with current Building Regulations and Health & Safety standards
• Completing job sheets and reports accurately

Requirements

• Proven experience working with MVHR and ventilation systems
• Experience with extraction units and MEV systems
• Strong understanding of airflow principles and system balancing
• NVQ Level 2/3 in HVAC, Ventilation, or similar qualification (preferred)
• PASMA / IPAF (desirable)
• 18th Edition (desirable but not essential)
• Full UK driving licence
• Ability to work independently and as part of a team

What We Offer

• Competitive salary (£38,000 £40,000 DOE)
• Company vehicle & fuel card
• Tools and uniform provided
• Ongoing training and development
• Pension scheme
• Paid holidays
• Opportunity to grow within a expanding company

Location: Nottingham

• Competitive Salary: £32,000 - £40,000
• 25 Days Holiday + Bank Holidays
• Company Bonus Scheme
• Option for Flexible working hours

The Company:

The client we are working with is a long established Mechanical & Electrical building services consultancy based in Nottingham. Highly respected within the construction and building services sector, they work across a diverse range of projects including hospitals, care homes, schools, council buildings, and commercial developments.

The business has grown steadily and now consists of a close-knit, friendly team where most engineers have developed their careers internally. With increasing work load they are now finally looking to hire again.

The Role:

As a Design Engineer, you will play a key role in delivering building services designs across various projects. You will be involved from AutoCAD and Revit design work to doing site surveys, working closely with the other engineering teams and clients.

You’ll be given autonomy in your work while being fully supported by experienced senior engineers and partners.

Key responsibilities include:

• Producing mechanical building services layout drawings using AutoCAD 2D and Revit
• Creating routing drawings for HVAC (Heating, ventilation, and Air Conditioning) Domestic Water and Drainage systems
• Carrying out basic mechanical calculations such as heat loss/gain, airflow, and duct sizing
• Representing the business by attending site surveys, inspections, and client meetings on site

The Candidate:

• Proficiency using AutoCAD 2D (Revit experience is also highly beneficial)
• Understanding of basic mechanical principles and calculations
• Confident communicator, who is comfortable working with clients
• Friendly, resilient, and keen to learn, with a collaborative mindset
• Full driving licence for site visits and ability to travel occasionally

Previous experience working within the Building Services industry, or working with software’s such as MEPWorx, Trimble or similar design/calculation software would be advantageous but is not required.

If this role is of interest to you, then would love to hear from you!

How to Apply:

If you are a motivated and experienced Design Engineer looking to join a growing company, please send your CV to Harjot Singh at or give me a call on

ATA is committed to creating a diverse workforce and is an equal opportunities employer. We welcome applications from all suitably qualified persons regardless of age, disability, gender, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation

Proactive Personnel are currently recruiting for a Thermal Manufacturing Engineer for a international manufacturing company at their site based in Telford. Our client is a leader in the design, manufacturing and implementation of hyperscale digital infrastructures Partnering with some of the worlds largest cloud, social media and enterprise companies across the glove.

About the role:

As aThermal Manufacturing Engineer,youwill oversee, maintain, and operate multi megawatt liquid cooled production systems, and support production difficulties. The ideal candidate has experience with thermal measurement and is passionate about technology and engineering. Other duties include designing and managing facility scale HVAC systems in a production environment and collecting data from IoT sensor networks such as Temperature, Humidity, and Power.

Duties:

• Create thermal simulation models from CAD to simulate HVAC systems for rack level, room level, and clean room performance.
• Program complex fan and pump control systems using large fields of sensor inputs, setting individual thermal limits, and setting fan and pump speed hysteresis controls for smooth steady state operation.
• Design, improve, and manage manufacturing processes to maximize efficiency and product quality in high density burn in rooms
• Optimize liquid cooled production lines, troubleshooting equipment failures, implementing quality control standards, and designing new manufacturing systems and workstations.
• Control costs for liquid production facilities.
• Interpret sensor log data and analyse presenting into human readable formats but also according to various customers specifications using engineering principles.
• Operate and configure building management systems as pertains to thermal management systems
• Present test reports to customers and accept customer feedback
• Perform temperature measurements using thermocouples and IoT sensors.
• Collect data logs from test tools in Linux or Windows
• Observe and report unexpected results or possible areas of opportunity
• Regularly inspect measurement tools and repair or replace as required

The ideal candidate will have:

• Bachelors degree in Thermal Engineering or Manufacturing Engineering with strong emphasis on thermal engineering or equivalent experience.
• Experience with CDUs of all types including Liquid to Liquid, Liquid to Air, and Liquid to Refrigerant.
• Experience designing facility cooling plumbing systems (either chilled water or glycol based)
• Must have built, tested and refined project designs.
• Strong working knowledge of CFD and CAD software.
• Experience with thermocouples, IR cameras, airflow sensors, and power measurement.
• Experience working within a manufacturing environment.
• Experience building personal computers or servers.
• Experience with environmental chambers.
• Fluency in Linux command line operation
• Ability to examine customer requirements documents and build appropriate test plans for manufacturing team.
• Possesses background knowledge of thermal measurement sciences.
• Familiarity of test instruments such as data loggers, volt meters, and power supplies
• Proficiency in building thermal models preferably in Ansys CFD products.
• Works well as a team member but also independently.
• Pays close attention to detail.
• Communicates clearly and effectively verbally and in writing to people without an engineering background.
• Demonstrates intellectual curiosity.
• Exhibits familiarity with proper manufacturing safety procedures.

Working hours: 8.30am 5pm, x 2 15mins paid breaks and a 30min unpaid break. 40 hours per week. As this is a US reporting role it may of course mean they need to work flexible hours from time to time.

This role will require some heavy lifting

Benefits:

Salary Circa £55,000

Level 2 Cash plan benefit via Medicash

Private medical insurance via Bupa Full cover

Group life insurance

Company Pension

Management incentive plan payment, 7% of base pay Annual payment is usually at the start of the year and is based on the company meeting performance/financial targets

If you are interested in this role or you would like to know more, please apply or call Antony on 0161 661 8000

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

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

What you’ll need to succeed

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

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

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

28-35hrs per week- open to discuss flexible working of these hours Remote with some attendance at our London office in Shoreditch The ASA is the UK’s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful. In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more. You will help develop and maintain the tools we use to capture, process, and apply AI models to large datasets of ads within the Active Ad Monitoring system. We’re looking for someone who wants to use their skills and expertise to help shape a safer advertising landscape. Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the code you write helps protect UK consumers. You will work in a cloud-based environment, primarily in Python, and with a range of industry standard tools such as Snowflake, Docker and Airflow. You will work primarily with unstructured data - namely ads in a variety of formats including images, videos and text from a range of online channels. About you \* You may not have been a Data Engineer before but you will have the ability to work with data in Python to a professional standard, and deliver high-quality code that works reliably in a production setting. \* You‘ll be working with people from both technical and non-technical backgrounds so you’ll need to be adept at being able to translate complex technical language to non-technical people. \* You’ll be impact focused- understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact. \* You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements. \* You’ll enjoy working with others from different technical disciplines each using your unique expertise to further the work, whilst also developing your own technical knowledge and skills. We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under‑represented within data engineering roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under‑represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only. How to apply: If you’re interested in applying for this role, please review the job description below and complete our online application process which includes answering some online questions regarding your motivation for applying for this role and your skills and experience. Closing date: 16th March 2026. Please note we will be reviewing applications as they come in and we reserve the right to close the advert early if we receive a significantly high number of applicants. Please feel free to use AI to enhance your application but not to write it for you. We’re interested to know your thoughts, experiences and ideas. You’ll need to stand up what you’ve told us in your application if you attend an interview, so please make sure we feel the person we’ve met on paper is the person we meet in the room