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Live Nation Entertainment is looking for an Analytics Engineer in Farringdon, London. This role enables data access, platform operations, and analytical modelling across the international data ecosystem.

A leading digital experience company in London is seeking a Staff Software Engineer to shape backend systems for their analytics platform.You'll design distributed systems, mentor engineers, and influence technical strategy.The ideal candidate has over 8 years in software development, with strong ex

Eaglecliff is seeking AI Consultants in London to improve trading strategies through data engineering and AI analytics. Ideal candidates should possess strong skills in Python, statistics, and data engineering. The role includes building scalable analytics workflows for a prominent Commodity Trading

A leading financial technology company is seeking an experienced analytics engineer to join its Data and Insights team in London.The ideal candidate will have 2-3 years of experience in analytics engineering, particularly with SQL and automation of data processes.You will be responsible for designin

Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. Referrals increase your chances of interviewing at Point72 by 2x. A Career with Point72’

We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. We are seeking a Security Engineer specialising in Detection Engineering and S

A dynamic AI start-up in London is seeking a Lead Computer Vision Engineer to advance sports analytics through innovative computer vision technology.

A global energy trading firm in Greater London is looking for a talented associate to join their Data Science & Technology team.This role involves optimizing trading processes, building Python-based services, and developing cloud-native solutions that impact trading directly.Ideal candidates will ha

A leading global marketing agency is hiring a Junior Machine Learning Engineer for a 6-month fixed-term contract in London.

A leading data and analytics consultancy in Greater London is looking for a Machine Learning Engineer to design, train, and productionise ML models on complex datasets.

Senior Data Engineer London (Hybrid Working) Full-time | Permanent £80,000 - £90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: • Design and build scalable data services within a modern architecture., • Develop ETL pipelines for efficient data ingestion and transformation., • Enable advanced analytics and optimisation of energy assets., • Apply DevOps best practices using Terraform and AWS., • Maintain high standards of data quality and reliability., • Collaborate across teams to deliver impactful solutions., • Mentor team members and promote best practices. About You: • Degree in Computer Science (or equivalent experience), • Strong experience with data pipelines, storage, and platforms, • Advanced Python skills and production-level coding experience, • Experience building and deploying data services end-to-end, • Solid understanding of ETL and data engineering best practices, • Experience with SQL/NoSQL, APIs, and cloud platforms, • Familiarity with big data tools and MLOps concepts, • Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today

Business Systems and Application Engineer Permanent Milton Keynes Hybrid working Were supporting a leading SME engineering organisation that specialises in complex, high value electromechanical systems for naval and defence platforms. Theyre looking to appoint a driven Business Systems and Application Engineer to help drive digital transformation and operational efficiency across the business. Key Responsibilities Own and manage core business systems and integrations Build Power Apps for data capture and operational workflows Automate processes using Power Automate Develop Power BI dashboards, reports and KPI displays Integrate data across multiple systems (SQL, SharePoint, Dataverse, APIs, legacy platforms) Map and improve business processes and workflows Maintain data quality, integrity and documentation Support system users, training and adoption Work closely with directors to drive digital transformation initiatives Provide general systems support alongside external IT partners (secondary focus) Key Systems Worked With Microsoft Power Apps, Power Automate, Power BI SQL / Databases SharePoint & Teams Accounting, project management and document management systems Legacy and bespoke systems Essential Experience & Skills Experience in a similar systems, analytics or automation role Strong Power Platform experience (Power Apps, Automate, BI) Strong SQL querying and data integration experience Experience building workflows, integrations and dashboards Strong understanding of business processes and process mapping Ability to translate business requirements into technical solutions Comfortable working across the full system lifecycle (requirements, build, test, deploy) Clear communication skills with technical and non-technical stakeholders Understanding of data security and GDPR Desirable Programming (JavaScript, C#, Python) AI applied to business data and reporting ERP or Business Management Systems experience Manufacturing or engineering environment SharePoint and M-Files experience Qualifications STEM or IT-related degree or equivalent practical experience in systems, BI, applications or automation roles Interested? Apply Now or reach out to Ellie at Orion Electrotech for further details. INDKA TPBN1_UKTJ

AI Engineer - Databricks and Spark essential London based. Start in May until 31st Dec. Certain Advantage are recruiting for an AI Engineer with hands on Databricks and Spark expertise. Industry experience in commodity or financial trading is strongly preferred. This is a fantastic opportunity to partner with traders and trading analysts to rapidly build AI‑powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed. Someone with familiarity in market microstructure, supply‑demand fundamentals, risk management with confident collaboration and engagement skills with trading teams would be ideal. Responsibilities to include Design and ship AI‑driven analytics for front‑office use (seasonality, correlation, regression, forecasting, scenario modelling). Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance. Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data). Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly. Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails. Productionize solutions with testing, observability, versioning, and documentation.What we’re looking for Hands‑on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog). Proven data engineering skills (ingestion, modelling, orchestration, performance tuning). Strong statistics/economics/data science fundamentals for market time‑series. Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services. Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage). Excellent stakeholder skills; able to work on‑desk with traders/analysts and deliver fast. Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Senior Data Engineer – (Tick data, Time-Series; kdb+ / Q ) 3-6 months initially. London 3 days onsite Are you a Data Engineer with a background in systematic trading who has worked with granular tick market data? Have you built pipelines to allow tick data to be ingested into a time series tech stack utilising kdb+ and Q? If so keep reading! Certain Advantage are recruiting on behalf of our London based trading client for a Data Engineer to focus on building a scalable data platform for algorithmic trading. You’ll Identify and implement solutions for Quants and Traders, providing data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics. Your Project Work: Identify and implement solutions to provide data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics. Work with business Stakeholders to build new and maintain existing real-time and historical data services and statistical functions on top of the data. Develop an in depth understanding of existing analytical libraries and help to broaden current offering. Identify and implement solutions to optimize performance maintaining fast query execution. Key Skills and Experience sought: Experience developing highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems. Practical experience scaling and load-balancing infrastructure using market leading time-series database products (e.g. kdb, shakti) Experience using of kdb and building indicators and backtesting frameworks using Q language. Deep understanding of tick design and data organization, performance implications of different approaches when building time-series database infrastructure Experience with Agile methodology and tools such as ADO, Github, Jenkins, Nexus and Jira Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Data Engineering - Senior Consultant As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions -- we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. Make an Impact at RSM UK At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance. Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it’s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. It’s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships. As a senior consultant within the Business Transformation team, you will be responsible for designing and delivering data solutions using a variety of modern cloud-based platforms. You will also advise clients on their current data landscape and maturity, shaping their data strategies and future roadmaps. You will make an impact by: • Facilitating requirements gathering workshops across business areas to agree objectives, use cases, and data needs., • Supporting the development of data solutions that align initiatives to business objectives, balancing best practice ways of working with clients’ requirements., • Providing guidance on data governance and strategies, including advising on recommended frameworks and policies to enable clients to increase their data maturity, • Managing delivery across multiple workstreams and engagements, supporting junior team members, and supporting the use of structured engineering practices across the team. What we are looking for: Are you someone who thrives on variety, loves learning new things, and enjoys connecting with people? If you can spot inefficiencies in everyday life and are passionate about making improvements, this role is perfect for you! We value diverse experiences and perspectives. Here’s what we’re looking for in our ideal candidate: • Strong understanding of Azure data services and integration systems (eg, Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks., • Experience implementing platform security practices (secure connectivity to sources, secrets management, role-based access concepts) aligned to client policies., • Experience in formal data quality assessments and defining reconciliation approaches with business stakeholders., • Client-facing data engineering experience (3+ years) in a professional services environment, including leading requirements workshops with clients., • Strong hands-on engineering capability across Microsoft Fabric and Azure Databricks, with SQL and Python experience to design and build scalable data solutions. A background in PySpark is desirable., • Experience in proposal writing and business development, supporting bids and client presentations., • Relevant certifications (desirable): Azure Data Engineer / Fabric Data Engineer or Analytics Engineer, Databricks fundamentals. Requirements Essential: • Strong academic record: preferably with a relevant degree (such as computer science, software engineering, data engineering, data analytics, or information systems)., • Minimum of 4 years’ work experience, ideally within a professional services environment, delivering data engineering and/or data platform engagements., • Participate in/lead client engagements, facilitating workshops to confirm objectives and requirements, identifying data requirements, and developing delivery plans and budgets., • Design, build and optimise end-to-end data pipelines (ingestion, transformation, orchestration) using SQL and Python, with a focus on reliability, maintainability and performance., • Hands-on experience with modern cloud data platforms, including Microsoft Fabric and Azure Databricks., • Understanding SQL Server Databases, SQL Server Integration Services (SSIS), Azure Data Resources, Azure Data Factory, Azure Data Lake, Azure Data Bricks and Azure Analysis Services., • Practical experience with Apache Spark and PySpark., • Strong engineering practices: version control (Git), CI/CD for data and platform artefacts, and disciplined release management via Azure Dev Ops (ADO)., • Experience implementing data quality controls and validation checks, and producing clear documentation to support traceability, handover and adoption., • Experience implementing platform security practices (secure connectivity to sources, secrets management, role-based access concepts) aligned to client policies., • Able to interact effectively with internal and external resources, at all organisational levels, establishing trust and credibility quickly., • Ability to meet deadlines and work on multiple projects simultaneously., • Good communication and presentation skills, with the ability to explain complex ideas to non-technical stakeholders., • Demonstrate the ability to understand and assess client requirements/issues, consider and analyse the impact and propose solutions to address these., • Create high quality, client-facing document outputs., • Effective project management skills. London-based or willing to travel to London fortnightly. What we can offer you: We recognise that our people are our most important assets. That’s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work. Hybrid and Flexible working 26 Days Holiday (with the option of purchasing additional days) Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team

Data Engineer (Snowflake / AWS) – 12 Month FTC London – Hybrid (2–3 days onsite, flexible) £65,000 – £80,000 + benefits The Opportunity We’re working with a PE-backed, data-driven media and analytics business undergoing a major transformation as they bring their data platform in-house. This is a high-impact opportunity to join during a critical transition away from a third-party vendor, where you’ll play a key role in stabilising, maintaining, and evolving a modern cloud-based data platform. You’ll gain exposure to large-scale, real-world data, alongside emerging AI-driven initiatives, with the opportunity to grow your skills and ownership over time. The Role You’ll work hands-on across an established AWS and Snowflake environment, supporting the existing platform while contributing to its ongoing improvement. Key responsibilities: Supporting and maintaining AWS infrastructure (S3, EC2, ECS, Lambda) Developing and optimising data pipelines using Python and SQL Building and improving data models and semantic layers Managing deployments through Git-based workflows Working within a Snowflake data platform Supporting infrastructure-as-code practices using Terraform Helping enable analytics and AI-driven use casesAbout You We’re looking for a hands-on Data Engineer with a solid foundation who’s keen to grow in a modern data environment. You might already be working as a Data Engineer, or looking to step into a more impactful Data Engineer role. This would suit a Data Engineer who enjoys getting stuck into real-world problems, or a developing Data Engineer ready to take the next step. Ultimately, this is a role for a curious, motivated Data Engineer who wants to learn and grow. Ideally, you’ll have: Strong SQL skills (data modelling, transformations) Experience with Python Exposure to cloud platforms (AWS preferred) Familiarity with Git/version control Some experience working with modern data platforms (e.g. Snowflake)Nice to have: Exposure to Terraform Experience supporting existing data platforms Interest in AI / LLM tools (e.g. Claude) You don’t need to tick every box. What matters most is a strong foundation, curiosity, and a willingness to learn. Why Apply? Join a business-critical transformation programme Work with a modern stack: AWS, Snowflake, Python Opportunity to develop and grow into greater ownership Exposure to AI-led data initiatives Be part of a PE-backed business investing heavily in data and technology If this sounds like something up your street please get in touch with me, Kumbirai Mafini, (url removed)

AWS Solution Architect - Senior Manager £80000 - 115000 GBP Car Allowance, Bonus & Strong Benefits Package Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent AWS Solution Architect | Senior Manager | Global Professional Services Firm | London Are you a senior AWS architect ready to lead large-scale cloud transformation programmes for some of the world's most complex organisations? We're working with a global professional services leader to find a talented AWS Solution Architect at Senior Manager level; a high-impact role sitting at the intersection of cloud strategy, enterprise architecture, and digital transformation. About the Business Our client is one of the world's most recognised professional services and technology consulting firms, operating across strategy, technology, and operations on a global scale. They're consistently ranked among the best employers worldwide for both performance and inclusion, and their cloud practice is one of the largest and most respected in the industry. The Role This is a senior leadership role within a high-performing cloud practice, working with tier-1 clients across multiple industry sectors. You'll define cloud strategy, lead transformation programmes, and engage at board and executive level, while also mentoring and building capability within the team. This isn't an ivory-tower architecture role. You'll be hands-on, client-facing, and directly accountable for turning cloud strategy into tangible outcomes. What you'll be doing: Defining cloud strategy and governance models, setting enterprise architecture standards for AWS adoption Aligning complex business objectives with scalable, secure cloud solutions Leading large-scale cloud transformation programmes, data centre exits, legacy modernisation, cloud-native builds Driving innovation across data, AI, security, and multi-cloud strategies Ensuring regulatory compliance and security best practice across all cloud environments Presenting cloud architectures and strategies to executive boards and governance forums Mentoring managers and consultants, building technical capability across the team What we're looking for: Significant hands-on experience designing and implementing AWS cloud solutions AWS Professional and/or Associate certification (Solutions Architect, DevOps Engineer, or equivalent) Ability to translate business requirements into scalable, secure cloud architectures Strong grasp of data platforms, analytics, and AI/ML-driven solution design Proficiency across modern cloud patterns; serverless, containerised, microservices, CI/CD Deep knowledge of security architecture: identity, access management, encryption, compliance Experience with integration patterns, event-driven architecture, and hybrid connectivity Degree in Computer Science, Software Engineering, or a related field Bonus points for: AWS Specialty certifications (Advanced Networking, Machine Learning, Security) Multi-cloud experience with Azure or Google Cloud Important: All offers are subject to BPSS and SC security clearance, which requires 5 years of continuous UK address history at the point of application. Location: London-based with client site travel as required. Package: Competitive base salary + 30 days annual leave + private medical insurance + 3 additional days charitable leave per year. This is a standout opportunity for a senior architect who wants genuine scale, variety, and career progression, working on the kind of programmes that most people only read about. Interested? Apply below or message me directly for a confidential conversation. Reference: AMC/JDR/AWSASM Postcode: SE1 #jodr TPBN1_UKTJ

Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC‑eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public sector programme and are looking for a Junior Data Engineer / Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals in a real production environment. The role - a junior, generalist data engineering position. This is an engineering‑led role, not a specialist or senior position. The team is ideally looking for a generalist in their first few years within data engineering or data science, who is building breadth across data platforms, pipelines and operations. You'll focus on: Designing, building and maintaining data pipelines Supporting the operation of data lakes and data warehouses Implementing and improving ETL / ELT processes Using Python and SQL to transform, validate and move data Working with analysts and developers to turn data requirements into technical solutions Monitoring data quality, documenting data models and lineage, and resolving issues Automating data workflows and operational tasks Participating in Agile delivery, sprint work and collaboration Supporting incidents and helping improve platform reliability over time Working within public sector data governance, security and privacy standardsThis role offers exposure to how data platforms are built, operated and supported in a regulated environment - forming the foundations of a long‑term data engineering career. What this role is not To avoid misalignment, it's important to be clear about what this role is not focused on: ❌ Not a Data Analyst role ❌ Not a Power BI / dashboard developer role ❌ Not an insight, reporting or MI position ❌ Not a modelling, ML or research‑focused role ❌ Not an LLM, AI or advanced data science roleWhile you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights or reports Statistical modelling Predictive or machine learning solutionsThe emphasis is on data engineering foundations and platform delivery. Ideal candidate profile This role is best suited to someone who: Is in their first few years of a data engineering or data science career Wants to build core engineering skills rather than specialise immediately Has hands‑on experience with SQL and Python Understands basic data modelling and ETL concepts Is comfortable learning through delivery in a production environment Is interested in how data platforms work end‑to‑end, including operations and support Is keen to grow within public sector data platforms Who this role is unlikely to suit This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research‑focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership, ownership of platform strategy, or advanced optimisation workApplications that demonstrate significant seniority or deep specialisation rather than junior‑to‑mid generalist experience may not be progressed. Required skills and experience Your CV should clearly demonstrate: A degree in a technical discipline (Computer Science, Data Science, Mathematics or similar) Hands‑on experience with SQL Experience using Python, Java or Bash Understanding of ETL processes and data modelling fundamentals Experience with version control (e.g. Git) Comfort working in Agile / DevOps environments Awareness of data security and privacy Eligibility for UK SC clearance Nice to have (but not essential) Exposure to AWS, Azure or GCP Familiarity with tools such as Airflow, dbt, Spark Awareness of CI/CD pipelines or containerisation Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned as a junior, generalist data engineering role. Please ensure your CV clearly demonstrates hands‑on data engineering fundamentals, rather than senior leadership, advanced AI/ML work, or analytics‑only experience. 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)

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This is a senior, hands-on role where you'll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. They're looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions. What's in it for you? Hybrid working from their Warrington office Salary up to £65K + 10% bonus 20 days annual leave + BH – increases with service Pension Enhanced sick pay Buy and sell holidays Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake E xperience building and optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working with senior stakeholders Previous experience mentoring data engineers Day to day Owning and developing the organisation's Microsoft Fabric data platform Designing and building scalable, reliable data pipelines and architectures Leading the move from legacy and hybrid platforms to a modern Fabric setup Supporting BI teams with semantic models, datasets and performance optimisation Enabling ML and MLOps workflows, from feature engineering to deployment Working closely with data scientists, analysts, IT and the wider business Embedding data quality, governance and best-practice standards Providing technical leadership and coaching to other engineers If this sounds like your next move, apply now or email As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff. Forward Role is operating as an employment agency. TPBN1_UKTJ

Location: Leicestershire, hybrid Salary: circa £70,000 - £80,000 Summary: We are looking for a hands-on Data Engineer to lead the build of a modern AWS-based data platform, taking ownership from core infrastructure through to curated, business-ready datasets. Key Responsibilities: Design, build, and operate a scalable AWS data platform, including storage, compute, security, and monitoring Develop robust, idempotent ETL pipelines across diverse data sources (APIs, databases, files, and event streams) Implement medallion architecture (bronze, silver, gold) to transform raw data into high-quality, analytics-ready datasets Establish infrastructure-as-code and CI/CD practices to ensure reproducibility and continuous improvement Own data modelling, master data management, and aggregation layers to support reporting, analytics, and ML use cases Skills and Experience: Proven experience building and running production data platforms on AWS end-to-end, ideally in a multi-site business environment Strong proficiency in Python and SQL, with hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design scalable architectures, make pragmatic trade-offs, and communicate effectively with both technical and non-technical stakeholders Processing Your Data Bis Henderson Recruitment is a leading provider of recruitment, interim management and consultancy services to the supply chain and logistics industry. Should you respond to this advertisement we may store your CV and contact details and will process this data for recruitment purposes only. Should we process your data, then we will always tell you that we are doing so. Please visit our website to read our Privacy Policy in full, in this Policy you will find information about our compliance with the UK General Data Protection Regulations. All applicants must have an unrestricted right to work in the UK as our client will not support visa sponsorship for this role. TPBN1_UKTJ

Senior Data Engineer / Analytics Lead As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions -- we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. Make an Impact at RSM UK At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance. Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it’s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. It’s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships. The Senior Data Engineer / Analytics Lead is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement. Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL. You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion. You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role, you will contribute to defining how the function operates. You will make an impact by: You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one. • Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing., • Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements., • Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements., • Leading the strategy to leverage and integrate AI into process and output., • Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows., • Building reusable forensic analytics tools and templates that make the team faster and more consistent over time., • Leading proposals and business development activity for forensic data analytics engagements., • Collaborating with analytics professionals across the wider Consulting practice through a community of practice. What we are looking for: • Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage., • Strong Spark, SQL and Python skill., • Solid understanding of data pipeline design, data modelling, and data governance., • Working experience with Power BI and version control (Git, Azure DevOps or similar)., • Experience with Alteryx is desirable but not essential., • Typically 5+ years in data engineering, analytics, or a closely related role., • Experience leading a technical team or workstream, including mentoring junior staff., • Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion., • Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms. What we can offer you: We recognise that our people are our most important assets. That’s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work. • Hybrid working although travel to your local office will be required weekly., • 25 Days Holiday., • Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP., • Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team

Senior Data Engineer London – Hybrid Salary £80,000 - £90,000 (depending on experience) VIQU has partnered with a leading organisation in the clean energy sector to recruit a Senior Data Engineer. You will design and build scalable data infrastructure, turning complex datasets into valuable insights that support renewable energy systems. Working in a collaborative, agile team, you’ll take ownership of key initiatives while contributing to best practices and mentoring others. Key Responsibilities of the Senior Data Engineer: • Build and maintain scalable data infrastructure using cloud technologies • Develop and optimise ETL pipelines for efficient data processing • Support data science and analytics to optimise energy assets • Implement infrastructure as code (Terraform/AWS) • Ensure data quality, integrity, and consistency • Integrate external APIs for data ingestion and delivery • Collaborate with cross-functional teams on data-driven solutions • Mentor team members and promote best practices Key Requirements of the Senior Data Engineer: • Strong experience building data pipelines, platforms, and storage systems • Advanced Python skills with a focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data services end-to-end • Strong stakeholder communication and collaboration skills • Ability to mentor others and promote best practices 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. Senior Data Engineer London – Hybrid Salary £80,000 - £90,000 (depending on experience)

Senior Software Engineer - Golang Information Security £650 per day - Inside IR35 3 days per week on-site, 2 days WFH 3 Month rolling contract up to 2 years Job Summary The Information Security team is responsible for developing services to find and mitigate security risks faced. We are seeking an extraordinary Software Engineer who is passionate about security and can thrive in a fast-paced environment where both individual drive and team collaboration are the keys to success. As part of the Information Security team, you'll be at the forefront of developing cutting-edge services to identify and mitigate security risks. This is a technical hands-on role that is focused on security across all of the organisation. You'll be working to identify problems, establish a vision for how to address those problems, and unite the relevant owners within the business on achieving that vision. Description In this role you will architect and develop distributed and scalable services focused on ensuring high standards of security and ultimately drive continuous improvements for these solutions. Together, our work will be instrumental in maintaining the security of the software development lifecycle. As a member of the team, you will: Drive security requirements and architecture into distributed services that play a pivotal role in the development of software. Lead project initiatives throughout the product development cycle to ensure the highest level of security, while ensuring privacy and ease of use. Use a wide range of interpersonal and technical skills to champion adoption of our security technologies across the company. We're seeking candidates who have: A passion for information security. Proven experience collaborating with engineering teams to integrate security throughout the software development lifecycle. Proven experience designing, developing and deploying robust, scalable services and platforms that enable secure operations across an organization. Proven experience in programming and scripting languages (e.g., Go, Python, Bash, Java, JavaScript). Minimum Qualifications Bachelor's degree in computer science (or similar) with 5+ years of relevant industry experience Significant experience with Golang and Git/GitHub SCM Strong experience with coding techniques and standard methodologies for security, performance optimization, and ease-of-use Experience in utilisation and deployment of cloud technologies in AWS or GCP, experience in container technologies such as Docker and Kubernetes, and microservice architecture Experience with CI/CD, IaaS and DevOps best practices Strong test-driven approach to writing code Excellent problem-solving skills Excellent written and verbal communication skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing, monitoring, analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services Track record of driving improvements in code quality, performance, etc. Experience leveraging ORMs to interact with databases efficiently Familiarity with Python, Java, Swift, C, C++ and/or Objective-C; and JavaScript and/or Typescript/React is a plus

Senior Data Engineer London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) £70,000 to 80,000 depending on experience Ref: J13073 A growing AI SaaS business, where data sits at the centre of everything they build, is looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. This is an opportunity to work with real world, complex data and turn it into reliable, decision ready datasets used across product, analytics and machine learning. Python and SQL sit at the heart of the role. The Opportunity ·You will design, build and maintain scalable data pipelines that support a fast moving AI platform. You will work closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. ·The business works with large volumes of imperfect and inconsistent data, so you will need to be comfortable handling edge cases, improving data quality and solving complex data challenges. ·The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. ·You will also have the opportunity to support and mentor other engineers through collaboration, code reviews and sharing best practice. ·The team is supportive, highly collaborative and values different perspectives. ·Engineers are given the space to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities ·Design, build and maintain scalable data pipelines ·Own data pipelines from source through to production ·Work with messy, incomplete and complex datasets to create clean, reliable outputs ·Improve data quality, performance and reliability as the platform scales ·Collaborate closely with product, analytics and machine learning teams ·Contribute to code reviews, engineering standards and best practice ·Support and mentor other engineers within the team What We Are Looking For ·Strong Python and SQL expertise gained within large scale production environments ·Experience delivering complex data transformation projects end to end ·Experience with Spark, Snowflake, BigQuery or similar technologies ·Exposure to cloud environments such as AWS, GCP or Azure ·Comfortable working with large, messy and evolving datasets ·Experience taking ownership of pipelines and data engineering solutions from design through to deployment ·A collaborative approach with experience mentoring or supporting other engineers If you enjoy building the data foundations behind AI products and want to join a business where you can have real impact, this could be an excellent fit. To find out more, please get in touch. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. If you know someone who may be interested, referrals are always welcome. For every successful placement, you will be eligible for our referral reward scheme. Datatech is one of the UK's leading recruitment agencies specialising in Data, Analytics, AI and Technology recruitment, and is the host of the Women in Data event

We are working with a global healthcare and insurance organisation who are making a real difference to people's lives. We require an experienced Senior Data Platform Engineer to join the AI and Data Platform teams. £100,000 + Bonus + Excellent Benefits Fully remote with occasional travel to one of their offices. You will contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting. You'll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services. Please note: this is a Platform Engineering role rather than a Data Engineering position. We welcome applications from data engineers who also bring strong platform engineering experience - for example, working with IaC, Terraform, or similar tooling. Role: • Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. * Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. * Build and optimise CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. * Implement observability practices including logging, metrics, and alerting using observability tools. * Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. * Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoring Key Skills / Qualifications needed for this role: • Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong grasp of observability practices, including logging, metrics, alerting, and performance optimisation. * Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake (e.g., network isolation, IAM, data protection). * Proficiency in scripting and automation using PowerShell, Bash, or Python. * Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams. * Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders. * Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing - highly desirable. This is majority remote based although you will need to attend the office in either London or Manchester when needed. This company look after their employees and you can expect a large bonus plus some excellent benefits. We are interviewing currently so apply now for immediate consideration for the Senior Data Platform Engineer position or contact Stuart Barnes at ITSS Recruitment for further information

Data Migration Engineer Location: Hybrid - 1-2 days a week in London Salary: £70-90k + 10% Bonus Job Type: Permanent Sponsorship: Not Available Role Summary: We are looking for a Data Migration Engineer to help us achieve a multi-system, multi-client, company-wide migration. In this role you will work closely with the owners of our legacy platforms to understand their data, then dive right in and create the queries and processes necessary to move everything to the new. As migration work wraps up, the role will transition to leveraging Airflow and other tooling to automate operational and financial processes. This is a great role for exceptionally outgoing individuals as all work will require extensive collaboration with engineers and stakeholders across many teams. Key Responsibilities: Collaborate with engineers of legacy systems to understand what data is available and the form it takes Design queries & scripts to extract and transform data from the old to the new Collaborate with our Principal Data Engineer to come up with a cold-storage solution for data that will need to persist for regulatory reasons Work with our solutions architect to design the data process' to be run the day each partner is migrated Build and maintain ETLs and workflow automation using Snowflake and Apache Airflow Thoroughly document all learnings and work-in-progress using version control Implement data quality checks and reconciliations at all steps in the process Collaborate with platform/infra teams on security, access controls, and secrets management Required Qualifications: 5+ years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership Demonstrated past success in a stakeholder management heavy data role Excellent communication skills, able to translate technical knowledge to non-technical colleagues Hands-on experience building and operating production workflows in Apache Airflow Hands-on experience delivering production-grade transformations in dbt, including tests and documentation Strong SQL skills and experience working across multiple SQL dialects. Experience with data modeling and warehousing concepts (facts/dimensions, slowly changing dimensions, incremental loading). Proficiency with Git-based workflows, code reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/security best practices. Use of SQLServer in a past role. Familiarity with Snowflake and/or PostgreSQL

Data Migration Engineer - Active SC, HealthShare Up to £500 (Outside IR35) Primarily remote/London 6 months We're seeking a hands‑on Data Migration Engineer to support delivery of a new healthcare platform. The role focuses on designing and delivering secure, high‑volume clinical data migrations into InterSystems HealthShare and IRIS. Key Requirements: Proven experience as a Data Migration Engineer, with Active SC (Security Clearance) Strong background in designing, developing, and delivering ETL pipelines for clinically coded healthcare data. Hands on experience working with InterSystems HealthShare and HealthConnect, including EMPI, HPD, the Integration Engine, and IRIS. Solid experience producing and maintaining data mappings and transformation logic aligned with target data models and business rules. Practical experience handling clinical terminology mappings, including SNOMED and local code sets. Experience building and managing staging‑layer pipelines within InterSystems IRIS. A proven ability to optimise data extraction and ingestion processes for high‑volume patient datasets. Strong analytical capability with a clear, structured approach to problem‑solving and stakeholder communication. Experience working effectively within an Agile delivery environment. Nice to have: Flexibility getting into office Experience with Microsoft Azure based ETL or analytics tooling Exposure to .NET, Ansible, or Terraform Experience using Jira and/or Azure DevOps Previous experience supporting large‑scale healthcare data platforms 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)

We have a current opportunity for a Head of Azure Platform Security on a permanent basis. The position will be based in London. For further information about this position please apply. ETrading client operates infrastructure that is genuinely critical - trading systems processing billions in daily notional value, client-facing platforms serving institutional counterparties, and cloud environments holding sensitive market and counterparty data. This role is for a cloud security architect who has never stopped being an engineer: someone who can model a threat, design the control, write the detection rule, and deploy the fix - all in the same day. You will not write policies and hand them to other people to implement. You will build and operate our security controls directly, hands on, end to end. Requirements • Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered, • Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments, • WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale, • Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns, • SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard, • Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models, • API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration, • PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments, • Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them, • MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs, • Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management Nice to Have o Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment o Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation o DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure o ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation o Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exercise What We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

We’re working with a leading London-based Managed Service Provider (MSP) and Cyber Security specialist, recognised as one of the UK’s top SME employers in both technology and overall workplace excellence. With strong partnerships across Microsoft technologies and a growing cyber security function, this organisation delivers tailored solutions to help clients improve performance, reduce risk and strengthen their security posture. This is a fantastic opportunity to join a high-performing and collaborative cyber team, with clear progression and funded certifications to support your career growth. The Role We’re looking for a Project Delivery Engineer (Cyber Security) to join an expanding Cyber Security Projects team. In this role, you’ll focus on the deployment and delivery of security solutions for a wide range of clients, while also supporting cyber assessments and audit activities. You’ll collaborate closely with the wider security team (SOC, Analysts, Assessors) and play a key role in delivering high-quality, client-facing security projects. Key Responsibilities • Deploy and configure Microsoft security solutions (XDR, SIEM, EDR), • Deliver cyber security project work packages for clients, • Support vulnerability remediation and security improvements, • Act as an escalation point for security incidents and alerts, • Assist with Microsoft 365 and cloud security assessments, • Contribute to security reporting, analytics, and documentation, • Support Cyber Essentials / Cyber Essentials Plus assessments, • Assist with client onboarding onto security platforms, • Work closely with the CISO on technical and pre-sales activities, • Provide a professional, client-focused service at all times Technical Requirements • Experience deploying Microsoft Security solutions, • Strong knowledge of:, • Microsoft Defender XDR, • Microsoft Defender for Endpoint / Office 365, • Exposure to Microsoft 365 security from a threat perspective, • Experience with tools such as:, • SentinelOne (EDR), • Tenable (vulnerability management), • Mimecast / Egress (email security) Experience Required • Minimum 2+ years in a similar cyber/security engineering role, • MSP experience highly desirable Certifications (One Required) • SC-200 (Security Operations Analyst), • SC-300 (Identity & Access Administrator) Personal Skills • Strong communication and client-facing ability, • Highly motivated with a proactive attitude, • Strong attention to detail, • Ability to work under pressure and manage multiple tasks, • Flexible and team-oriented mindset What’s on Offer Hybrid working (3 days in the office), fully funded training and certifications, clear progression within a growing cyber security team, gym membership and wellbeing benefits, cycle to work scheme, regular team and social events, supportive, high-performing team culture

Help us to increase the number of successful products in the world! ?? Location: We are full-remote and globally distributed! Our current team is distributed between GMT-8 and GMT+2 so we currently only hire in these timezones. ?? Interview process: 4 stages across 2-3 weeks: 1) 30min call with Talent Partner, 2) 30min call with Dana (CS Lead), 3) 30min call with Simon, (Sales & CS Lead), 4) PostHog SuperDay (paid day of work). Read more about our interview process. ??? Team: Customer Success ?? Manager: Dana Zou ?? Compensation: Please check our compensation calculator . ?? Read more about how we hire and how we think about diversity & inclusion . About PostHog We're shipping every product that companies need to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: A built-in data warehouse , so users can query product and customer data together using custom SQL insights. A customer data platform , so they can send their data wherever they need with ease. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. Next on the roadmap are CRM, messaging, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it! We are: Product-led . More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing 10% MoM on average, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $100m from some of the world's top investors . We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We dont tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end. Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days , and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had. Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there. Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun. Who were looking for A customer-obsessed person to take care of a large number of our larger customers. Youll engage with them regularly to ensure their continued retention and growth. You'll need to be incredibly helpful, technical enough to help our customers, and solve real problems without asking a sales engineer for help. No going away and asking an expert by default. You will be the expert! Youre great at building relationships with customers, understanding their priorities, and ensuring they are set up for success both today and in the long term. What youll be doing Youll be the face of PostHog for anywhere from 25-40 paying customers in the $20k-$100k+ ARR range. Some of these customers will have come through our sales process and be well-known to us, while others will have self-served and never talked to us before! It'll be your responsibility to ensure that both types of customers stay with us. That means taking care of the technical side (debugging, config advice), the commercial side (pricing questions, credit renewals), and the human side (multi-threading, managing escalations). Day to day, it looks like: Building relationships with your users. You should know who the key people are at each company, and they should know you. Owning their feedback and making sure it gets to the wider PostHog team. Investigating technical issues. You're the first person to dig into customer issues, often solving them yourself rather than immediately passing to support. Being super responsive to their Slack messages, support tickets, and emails. Being their favorite ever Customer Success person to work with! More broadly, you'll watch product usage and revenue data so customer health doesn't move into the red, and act early when it does. Your aim is to never be surprised when a customer tells us they are leaving. If you want to build automations to help you do your job here, go for it! This role comprises a base salary component, plus a bonus for hitting/exceeding customer retention targets. The salary in our compensation calculator is the OTE (80/20). What you wont be doing ? Taking someone with you to every customer meeting. Itll normally be you and the customer. Very occasionally, you might bring a product engineer with you, e.g. if they are one of our first customers paying for a new product. ? Aggressively pursuing expansion opportunities. This role is primarily focused on retention. Requirements Technically capable. You don't need to be an engineer, but you should be comfortable working with code. You troubleshoot issues customers run into (and sometimes even raise PRs yourself to fix bugs) and advise on configuration best practices across all PostHog products. You get how product teams work . You know the roles, how they collaborate, and how they ship features - so you can help them use PostHog to solve real problems. For example, why running experiments matters, how to use product analytics and session replay together to find drop-off points and test fixes, or when error tracking helps teams ship better. Strong customer focus. You need to help our users and remove any blockers to them using PostHog effectively not route them elsewhere and move on. Able to work at scale. You'll have around 40 customers. You can't treat them all the same, and you won't try to. Nice to have Experience working with similar technologies , i.e. developer tools more broadly, or specifically product analytics, session replay, feature flags, A/B testing, data warehouses, or data pipelines. Youve been in a Pre-sales or Technical Account Manager role before , bringing both technical expertise and commercial acumen. If you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! TPBN1_UKTJ

Help us to increase the number of successful products in the world! ?? Location: We are full-remote and globally distributed! Our current team is distributed between GMT and GMT+2 so we currently only hire in these timezones. ?? Interview process: Read more about our interview process. ??? Team: Product-led Sales ?? Manager: Simon Fisher ?? Compensation: Please check our compensation calculator . ?? Read more about how we hire and how we think about Diversity & Inclusion . About PostHog We're shipping every product that companies need to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: A built-in data warehouse , so users can query product and customer data together using custom SQL insights. A customer data platform , so they can send their data wherever they need with ease. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. Next on the roadmap are CRM, workflow, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it! We are: Product-led . More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing 10% MoM on average, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $100m from some of the world's top investors . We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We dont tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end. Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days , and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had. Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there. Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun. Who were looking for Were looking for someone who is: A natural relationship builder. You get energy from meeting new people in a customer org, finding out what they care about, and connecting dots between teams. You're the person who ends up knowing the head of platform, the VP of engineering, and the CTO's chief of staff not just the one engineer who signed up. Comfortable selling to senior leaders. You can hold your own in a conversation with a VP or C-level exec, talk about their business priorities in their language, and make the case for PostHog as a strategic platform decision rather than a point tool. Technical enough to be credible. You don't need to be a developer, but you need to confidently demo every PostHog product, speak to how they fit together, and know when to pull in somebody else on the team for deeper technical work. No going away and "getting back to you" on basic product questions. Great at reading the signs of which customers to focus on. You'll be laser-focused on accounts that match our ICP and have real expansion potential, and not spend time where you can't have an impact. Good at maintaining long-term relationships past the initial sale. You own the relationship and sell new products as fast as we build them. Were building every tool a product engineer needs to build better products, and our strategy is working were finding customers organically using two, three, or even four PostHog tools at a time. Your challenge is to drive multi-product adoption without forcing people into using tools they dont need. We have over 1,000 organizations signing up to use PostHog every week. We have product-market fit and loads of customers happily self-serving to large contract values, but staying focused on the biggest opportunities is increasingly challenging as a result. What youll be doing We've proven that our customers do best when a small number of people own the relationship end-to-end. The TAM+CSM pair work together on all of our current customers with expansion potential you bring the commercial and relationship depth, your CSM brings the technical depth, and together you're an extension of the customer's team. Technical Account Managers have an existing book of business. These are engaged, high-paying ($20k+/yr) customers who we think have huge expansion potential. Some of these people have never talked to us before! Your focus: Multi-threading. Most of our customers start with one champion in one team. Your job is to turn that into relationships across product, engineering, data, platform, and leadership so PostHog becomes the default choice whenever a new team has a question, our products can answer. Selling up. Expansion and cross-sell often require a senior sponsor. You'll build relationships with directors, VPs, and execs, understand their goals, and position PostHog against those. When a customer is evaluating a platform decision, you want to be in the room. Driving multi-product adoption. We're finding customers organically using two, three, or even four PostHog tools at a time. Your challenge is to accelerate that without forcing people into tools they don't need. Owning customer feedback and getting it to the wider PostHog team. You'll work directly with product teams we don't believe in bureaucracy here. Being hyper responsive. You need to feel like an extension of a customer's existing team. We try to do as much customer comms in Slack as possible. Partnering closely with a CSM. You'll jointly own the account strategy, trade off who leads which conversations, and make sure the customer experiences a single, coordinated team. This role has a base salary component plus commission for hitting/exceeding sales targets - the salary in our compensation calculator is your expected total pay for on-target earnings. What you wont be doing ? Taking someone with you to every customer meeting. Itll normally be you and the customer. Very occasionally, you might bring a product engineer with you, e.g. if they are one of our first customers paying for a new product. ? Owning the deep technical implementation work solo. Your CSM partner takes the lead on that, and you'll tag in where it helps the commercial conversation. ? Automating everything . A big part of this role will be inefficiently building a lot of white-glove, 1-1 customer relationships, so you cant just rely on email sequences. Requirements Strong relationship-building skills across seniority levels. You can move fluidly from a conversation with an IC engineer to a 30-minute slot with a VP, and leave both feeling like you understood what they care about. You enjoy meeting new people inside an account and finding reasons to stay in touch. Commercially-minded. You're excited about growing and retaining revenue. If we've never spoken to a particular customer, you'll get creative to engage them. You think in terms of account strategy over 12-24 months, not just the next deal. Able to go broad on PostHog's products. You should be able to demo any of our products confidently and articulate the value of each, including the more technical ones like Feature Flags and Data Warehouse. You don't need to be a developer your CSM partner handles the deep technical work but you need enough fluency to be credible with a technical audience and know when to bring your CSM in. Good at handling relationships strategically. Helping a customer achieve their goals over time, expanding their usage and buying more products from us as they do so, while saying no to customers we're not right for. Strong customer focus. You need to help our users and remove any blockers to them using PostHog effectively. Nice to have Experience selling or managing accounts with senior technical buyers (VP Engineering, CTO, Head of Platform, Head of Data). Experience working with similar technologies, i.e. developer tools more broadly, or specifically product analytics, session replay, feature flags, A/B testing, data warehouses, or data pipelines. You've been the owner of several customers in the $20k-100k+ ARR range previously, with evidence of growing them through expansion and cross-sell rather than just renewal. If you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! TPBN1_UKTJ

Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. • 6 months initial contract (OUTSIDE IR35), • Remote with occasional travel into London (1 day per month) Key Responsibilities • Design, develop, and maintain robust data pipelines and ETL/ELT processes, • Build and optimize data models within Snowflake for performance and scalability, • Ingest data from various sources (APIs, databases, streaming platforms, etc.), • Ensure data quality, integrity, and governance across systems, • Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions, • Monitor and troubleshoot data workflows and pipeline performance, • Implement best practices for data security, privacy, and compliance, • Document data architecture, processes, and workflows Required Skills & Experience • Proven experience as a Data Engineer or in a similar role, • Strong hands-on experience with Snowflake data platform, • Proficiency in SQL and data modeling techniques, • Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica), • Experience with cloud platforms (AWS, Azure, or GCP), • Familiarity with data warehousing concepts and best practices, • Understanding of data governance and data quality principles Preferred Qualifications • Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka), • Knowledge of CI/CD pipelines and DevOps practices, • Experience working with large-scale or real-time data processing systems, • Familiarity with BI tools (e.g., Power BI, Tableau, Looker), • Snowflake certification is a plus

Job title: Senior Data Engineer Location: London - Hybrid 2/3 days on site Duration: 6-12 months initially This is for a Senior, Experienced Data Engineer role to support Strategic Platform build, as part of Integrated Financial Crime Programme This role will be producing design and support for POC build this year. Strong knowledge of data governance, metadata management, data quality, and data mesh concepts, with the ability to influence enterprise-wide adoption. Ability to communicate complex technical concepts clearly to senior leadership, influencing architectural and investment decisions. Deep expertise in cloud data architecture and distributed computing paradigms, with strong hands‑on background in AWS data platforms, including Glue, Lambda, S3, Redshift, Athena, and Databricks. Modern Data Stack: Understanding of data Lakehouse architectures (Delta Lake, Iceberg) & experience with containerization using Docker. Including architecture design, data modelling, workload optimization, and cost governance. Advanced knowledge of data modelling techniques, including dimensional modelling, schema evolution, and design patterns for analytics, reporting, and downstream consumption. Exposure to real time and event‑driven architectures, including Apache Kafka, Spark Streaming, or similar technologies. Strategic understanding of DBT (Data Build Tool) and analytics engineering practices for scalable transformation and modelling. Demonstrated ability to define and govern data architecture standards, reference architectures, and engineering frameworks across multiple teams. Strong understanding of cloud security, IAM, data access controls, and platform governance, with experience implementing fine grained data security using tools such as Immuta. Advanced proficiency in Python, PySpark, and SQL, with the ability to guide teams on performance optimization and scalable design rather than individual contribution alone

Junior Data Engineer, Data Operations £40,000 to £45,000 Basic + 10% Bonus + Benefits London HQ | Remote across the UK fine though We’re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer. This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You’ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business. Working alongside experienced Data Engineers and a collaborative data team, you’ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You’ll also gain exposure to enterprise-level data platforms and best practices. The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark, integrating data from various internal and external sources, and supporting day-to-day data operations. You’ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability. We’re looking for candidates with 1 to 3 years’ experience in data engineering, analytics engineering or a similar field. You’ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous. This organisation operates globally and is continuing to invest heavily in its data capabilities, making it an exciting time to join. The culture is collaborative, supportive and focused on continuous improvement, with a strong emphasis on delivering real business impact. What’s on offer: £40,000 to £45,000 basic salary 10% annual bonus Comprehensive benefits package including healthcare, pension, life assurance and more 25 days holiday plus your birthday off Flexible working with remote options across the UK London HQ for those who enjoy office collaboration If you’re looking to develop your data engineering skills in a high-growth SaaS environment, we’d be keen to hear from you. Apply now to learn more

AI Engineer - Forward Deployed London - hybrid (2-3 days in office) £115-175k plus performance bonus A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring an elite Forward Deployed AI Engineer - an influential, hands-on individual contributor who will play a foundational role in shaping how AI is used across the investment lifecycle. Were interested in talking to a high achieving, high energy, fast tracker with around 3-5 years in a top tier environment, post-University. An AI native with an engineering background and mindset. Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems. As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows. This is a highly autonomous role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making. More on the role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems Guide and coach the investment team on the latest tools, processes Skills and Experience: circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs, or scrapers A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools Strong communication skills and the ability to collaborate directly with non-technical business users Exposure to finance, enterprise data tooling, or B2B SaaS analytics is a bonus The AI Engineer will thrive in real-world environs where delivery is all - settings where you work directly with end users, navigate ambiguous or evolving requirements, and need to understand the commercial context as deeply as the technical one. It is envisaged that over time the role could evolve to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc). Given the elite calibre and potential of the person were after, there is a clear leadership path within the organisation. TPBN1_UKTJ

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring. Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable owning the full ML lifecycle, from data preparation to production deployment Clear communicator who can work effectively across technical and non-technical teamsJob Offer Machine Learning Engineer - London Competitive salary ranging from £75,000 to £95,000 per annum. Comprehensive benefits package to support your well-being. Opportunity to work in a leading organisation within the insurance industry. Collaborative and innovative work environment in London. Chance to work on impactful projects using the latest technologies.If you're a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London

Lead Analytics Engineer / Senior Data Contractor London / Hybrid | Contract | SaaS / Product-Led Environment I'm currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer / Senior Data Contractor to help drive and stabilise their analytics capability. This is a highly hands-on role,ideal for someone who enjoys working across data engineering,analytics,and commercial insight,with strong exposure to modern cloud data stacks and stakeholder-facing delivery. You'll be joining a fast-paced environment where data is central to product,commercial,finance,and leadership decision-making. The Role You'll take ownership of analytics delivery across the business,helping to ensure data is trusted,accessible,and directly supports strategic decisions. Key responsibilities include: Required Experience We're looking for someone with strong hands-on capability across: Ideal Background This role would suit someone currently working as a: • Lead Analytics Engineer * Senior Analytics Engineer * Senior Data Engineer * Data & Analytics Lead * BI / Analytics Contractor Location London / hybrid working. If this sounds relevant,please apply or get in touch directly for more information

Senior Data Engineer - MUST have London Market / Lloyds of London Insurance experience - hybrid London £60,000 - 75,000 plus 15% cash flex (guaranteed income and can be taken as cash or used to buy extra benefits) plus bonus We are seeking a Senior Data Engineer with strong Insurance and London Market expertise to design, build, and lead scalable data engineering solutions across underwriting, pricing, claims, reinsurance, and delegated authority domains. This role plays a key part in modernising cloud‑native data platforms using medallion architecture, enabling analytics, regulatory reporting, and AI‑driven use cases. You will provide hands‑on technical leadership while engaging senior stakeholders across business and technology teams. Your Role: Design and implement cloud‑based data platforms using Medallion Architecture Build and optimise batch and real‑time data pipelines for underwriting, pricing, claims, reinsurance, and bordereaux ingestion. Develop scalable pipelines using Python and PySpark on Databricks and/or Snowflake. Integrate data from PAS, claims systems, broker platforms, third‑party providers, and market feeds. Ensure robust data quality, reconciliation, lineage, and auditability aligned to London Market and regulatory expectations. Apply AI‑assisted software engineering techniques using OpenAI / Claude models to improve engineering productivity. Enforce engineering governance including code reviews, CI/CD, branching strategies, and deployment standards. Act as a trusted technical advisor, mentoring engineers and engaging senior business and IT stakeholders. Your Skills: Strong experience as a Senior Data Engineer within Insurance, ideally the London Market. Deep domain knowledge of Lloyd's syndicates, delegated authority, reinsurance (including ceded), pricing, and claims. Proven hands‑on expertise in Python, PySpark, Databricks, and/or Snowflake. Solid understanding of cloud platforms (Azure, AWS, or GCP). Familiarity with DevOps, CI/CD pipelines, Git workflows, and automated testing practices. Ability to translate complex insurance business requirements into scalable technical solutions. Excellent communication skills and confidence working with senior stakeholders across Data, Underwriting, Finance, and Actuarial teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this permanent job, you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003. The advertised salary range is dependent on experience and the required qualifications. Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

Domain : Telecom Domain experience - MUST HAVE Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain. The candidate will work closely with data architects, business analysts, and cross-functional teams to build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows...

Analytics Engineer Salary: £95,000 - £105,000 Location: London At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale. The Opportunity This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment. Skills and experience Experience designing and building ETL pipelines Strong understanding of data modelling, schema design, and data structures Strong SQL skills and experience Experience with data pipeline orchestration tools Exposure to LLMs or AI-driven analytics workflows Proven experience building scalable data models and systems end-to-endIf you are looking for a new challenge and want to work on cutting-edge data and AI platforms, please submit your CV for initial screening and further details. Analytics Engineer

Tech Lead – Python / Financial Modelling / AI - Pensions £650 – £750 per day Outside IR35 6 Month Contract Remote (Occasional London Travel) Overview I’m currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions for a major pensions client. This role sits at the intersection of financial modelling and modern engineering, supporting the development of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a team of senior developers. You’ll also play a key role in shaping AI-assisted and agentic development workflows, helping embed these approaches into day-to-day engineering practices. The Role You will lead a team of four experienced engineers while remaining actively involved in the development process, with a strong emphasis on Python-led development within a modern cloud environment. Alongside technical leadership, you will coordinate delivery, run Agile ceremonies, and act as a key technical contact for stakeholders and clients. The role requires someone who leads by influence, communicates confidently with clients, and brings practical experience implementing AI-assisted and agentic engineering workflows within real delivery environments. Key Responsibilities Leading a team of four senior engineers within an Agile delivery environment Remaining hands-on with Python-led full-stack development, alongside TypeScript, React and Azure Contributing to platforms supporting financial modelling and forward-looking analytics including discounted cashflow projections and Monte Carlo simulations Championing AI-assisted and agentic engineering workflows, embedding these into development practices Running Agile ceremonies including stand-ups, sprint planning and retrospectives Managing day-to-day delivery and proactively removing blockers Acting as a key technical contact for stakeholders and clients Supporting solution design and maintaining strong engineering standards Experience Required Proven experience operating as a Tech Lead or Lead Engineer in modern engineering teams Strong Python development experience within full-stack environments Experience with TypeScript, React and Azure-based architectures Experience working on financial modelling systems, ideally involving forward-looking modelling such as discounted cashflow projections or Monte Carlo simulations Demonstrable experience implementing AI-assisted or agentic engineering approaches in practice Experience leading engineering teams within Agile delivery frameworks Strong communication skills and the ability to engage confidently with clients and stakeholders A solutions-oriented, detail-focused mindset with a strong delivery drive and principles-based approach to engineering

Senior Data Engineer - Commodities & Energy Trading £Up to £175,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Data Engineer - Commodities & Energy Trading London | Permanent | Hybrid Working Our client is a global commodities and energy trading organisation operating an asset-light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk-management decisions across energy and commodities markets. As a Senior Data Engineer , you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams. You'll have the opportunity to: Build and maintain scalable data pipelines supporting trading and analytics use cases Ingest structured and unstructured data from diverse internal and external sources Support predictive analytics, systematic trading, and machine-learning workloads Partner closely with Data Scientists and Trading teams to deliver high-quality datasets Contribute to cloud-native data platforms using modern engineering practices Drive improvements in data quality, performance, and self-service capabilities Your Responsibilities As a Senior Data Engineer , you will: Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches Clean, enrich, and transform datasets for analytical and operational consumption Persist data across databases, warehouses, and data lakes Distribute data internally via APIs, Python packages, and direct querying Maintain and enhance production data pipelines and databases Support post-processing automation, including analytics, models, and visualisation workflows Enable Data Scientists through shared libraries, cloud resources, and documented data access Maintain knowledge bases covering data sources, pipelines, and usage Key Requirements As a Senior Data Engineer , you should have: Strong engineering background in Data Engineering, Computer Science, or similar Experience working in commodities, energy trading, or financial markets environments Advanced Python skills, including extensive use of Pandas Experience with analytical or time-series databases (e.g. Redshift, ClickHouse) Hands-on experience with Docker and containerised workloads Experience with Git and modern DevOps practices Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation) A proactive, ownership-driven mindset with strong problem-solving skills You will gain exposure with: Working as a Senior Data Engineer , you will gain exposure to: Direct collaboration with Traders and quantitative teams Cloud-native data platforms supporting real-time and batch processing Big-data and distributed processing tools AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2 Advanced analytics, visualisation, and data-science workflows Emerging technologies across AI and machine learning Why Join? Work on data platforms that directly support trading and optimisation decisions Own data engineering solutions end-to-end in a high-impact environment Operate in a technically deep, collaborative engineering culture Competitive compensation with performance-linked bonus Hybrid working model supporting flexibility and collaboration Interested? Apply now. Reference: AON/AMC/DKDataEngineer #aaon TPBN1_UKTJ

Job Title: Data Engineer (SQL, Python) This role offers the opportunity to work with very large, complex data sets to influence product decisions for digital products used by hundreds of millions of people every day. You will contribute directly to user growth, retention and experience by building and maintaining robust data warehouse solutions, data models and pipelines. You will join a high-calibre data engineering team solving challenging web and mobile data problems at a scale that few organisations can match, with a strong focus on adoption and buyer personalisation. Responsibilities Maintain and support existing ETL pipelines and data processes running in production, ensuring stability and reliability. Work with very large-scale data sets, applying appropriate SQL techniques and performance optimisation strategies. Manage data warehouse plans and roadmaps for a product or group of products, ensuring alignment with business priorities. Interface regularly with engineers, product managers and product analysts to understand data needs and translate them into technical solutions. Build deep data expertise in your areas of ownership and take responsibility for data quality across those domains. Design, build and launch new production-grade data models that support analytics, reporting and personalisation use cases. Design, build and launch new data extraction, transformation and loading (ETL) processes in production environments. Rewrite and refactor data pipelines when upstream tables, schemas or privacy rules change, updating SQL and Python code accordingly. Implement changes to data visualisation dashboards, including wholesale reimplementation to meet new visualisation standards and guidelines. Contribute to task-focused delivery, taking ownership of tightly scoped backlog items and driving them to completion within agreed timelines. Use data analysis to identify deliverables, gaps and inconsistencies, and propose solutions to improve data coverage and quality. Communicate data-driven insights and technical considerations clearly and effectively to both technical and non-technical audiences.Essential Skills At least 5 years’ experience with programming languages, with strong hands-on experience in Python. At least 5 years’ experience writing efficient, optimised SQL statements for large and complex data sets. Hands-on experience with schema design and dimensional data modelling. Strong ability to analyse data to identify deliverables, gaps and inconsistencies. Ability to understand and work with Python language constructs, including constraints, conditional statements and code structure, in order to read, debug and rewrite existing code. Proficiency in building and maintaining ETL pipelines using tools or frameworks similar to Airflow (for example, internal orchestration tools with comparable concepts). experience working with large-scale data sets and applying SQL techniques suitable for high-volume environments. experience with data visualisation and dashboard development, ideally using Tableau. Excellent communication skills, including the ability to explain data-driven insights and technical topics clearly to stakeholders.Additional Skills & Qualifications Familiarity with industry-standard data pipeline orchestration tools such as Airflow or similar frameworks. experience working with cross-functional teams including product management, analytics and marketing. Strong problem-solving skills and the ability to work independently on task-focused backlog items. Attention to detail when implementing changes to dashboards, visualisation standards and reporting guidelines.Why Work Here? You will work on cutting-edge data technologies and large-scale systems that operate at a level of complexity and volume matched by few organisations. The environment encourages collaboration with some of the brightest minds in data engineering, product and analytics, offering continuous learning and exposure to modern tools and practices. Work Environment You will work in a modern, technology-driven environment focused on large-scale web and mobile data. The team uses SQL, Python and advanced data warehousing technologies to process and analyse massive data sets. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

We’re working with a business looking for an Analytics Engineer to support the evolution of their data platform. This role sits between data engineering and analytics, ideal for someone who enjoys both preparing data and generating insights. Strong experience as an Analytics Engineer or similar.

Strong data and analytics engineering fundamentals within a modern cloud data stack. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is

Engineers who enjoy building, not just designing. DV Cleared Data Engineers & Data Architects. Datatech Analytics is partnering with a leading UK consulting and technology organisation delivering secure, production-grade data platforms across defence, national security and critical infrastructure.

This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. Strong commercial experience as an Analytics Engineer within a modern data platform. You will join a growi