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Overview Our client is seeking a Senior Data Architect to join their growing consultancy team. This role involves working within multidisciplinary Agile teams to design and deliver user-centred digital solutions, ensuring data is accessible, secure, and optimised to support evidence-based decision-making. You will play a key role in defining enterprise-level data architecture, engaging with stakeholders, and delivering scalable data solutions integrated with business systems and processes. This is an opportunity for an experienced data professional to combine technical expertise with client-facing consultancy and leadership responsibilities. Responsibilities • Define and implement data architectures aligned with organisational and enterprise-wide strategies., • Develop and maintain architecture artefacts, including entity relationship models, data dictionaries, ETL/ELT definitions, and data lineage models., • Act as a trusted advisor to clients, taking ownership of architectural decisions and solution design rationale., • Establish governance frameworks to maintain integrity and consistency of data architecture., • Embed data security principles and best practices into all data solutions., • Define standards for data modelling across enterprise environments., • Evaluate APIs, analyse data sources, and assess data quality, integrity, and timeliness., • Reverse-engineer data models from existing systems where required., • Create Agile user stories and support engineering teams throughout delivery., • Support third-party suppliers to ensure system compatibility and integration., • Contribute to integration and reconciliation testing processes., • Proven experience designing and delivering data architectures for diverse stakeholders., • Strong knowledge of data warehousing and data lake architectures, with experience on platforms such as Snowflake or Databricks., • Experience with major cloud platforms (AWS, Azure, or Google Cloud Platform)., • Strong understanding of data security principles, including role-based access control., • Advanced data modelling skills across data warehouses and datamarts., • Experience migrating data from legacy systems to cloud-based architectures., • Knowledge of OLTP and OLAP systems and their implementation., • Experience developing and managing entity relationship models, data dictionaries, and ETL/ELT processes., • Strong SQL proficiency; familiarity with SQL Server tools (SSMS, SSIS, SSRS) is advantageous., • Experience with data visualisation tools such as Power BI or Tableau., • Competitive salary with clear progression opportunities., • Contributory pension scheme (6% employer contribution, 2% employee contribution)., • 25 days’ annual leave plus UK public holidays., • Flexible benefits package, including private health and dental cover, additional pension contributions, extra holiday purchase, wellbeing support, charity contributions, and sustainability initiatives., • Life assurance, death in service, and critical illness cover., • Cycle-to-Work scheme and electric vehicle salary sacrifice options.

Perch Group are searching for a Data Engineer. At Perch Group, our vision is clear: to lead the UK debt purchase and collection industry by harnessing cutting-edge technology to drive ethical, efficient, and data-driven debt resolution. Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts. We do this through an empathetic and customer-centric approach that is at the heart of our success. The Role We’re looking for a Data Engineer to support the development of our modern data platform and contribute to our transition toward metadata driven and configuration led engineering. This role is ideal for someone with strong fundamentals in data engineering who is ready to grow into more advanced automation focused work. You will build and maintain data pipelines, contribute to reusable engineering patterns, and work alongside senior engineers to uplift automation, data quality, and delivery standards. What will your day-to-day look like? Engineering Delivery • Build, maintain, and enhance data pipelines using Azure Data Factory, Databricks, Python and T SQL., • Apply parameterisation, configuration, and reusable components in ADF and Databricks where appropriate., • Support the creation of metadata driven patterns by implementing components and contributing to framework evolution., • Assist in developing and refining data models and data warehouse layers., • Ensure pipelines are performant, reliable, and aligned with engineering and governance standards. Collaboration & Continuous Improvement • Work closely with senior engineers, analysts, and architects to understand requirements and deliver robust, well designed solutions., • Contribute to code reviews, documentation, and quality improvement initiatives., • Participate in DevOps practices such as CI/CD, automated testing, and version control. Operational Support • Troubleshoot and resolve pipeline issues, ensuring stability and data accuracy., • Monitor pipeline performance and help implement improvements., • Support continuous optimisation and lifecycle management. Does this sound like you? Essential • 3+ years T SQL including joins, transformations, stored procedures, and performance basics, • 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates, • 3+ years Databricks experience (PySpark, Delta Lake, notebooks), • 2+ years Python Experience, • Experience working with data warehouses and structured modelling concepts, • Strong understanding of ETL/ELT practices and data centric engineering Desirable • Exposure to metadata driven or config driven engineering practices, • Basic PySpark optimisation or Delta Lake performance tuning, • Experience using Azure DevOps (repos, pipelines), • Understanding of data governance, data quality tooling, or lineage concepts, • Experience in regulated environments or financial services The Application Timeline • A first stage call with the internal recruitment team (15 minute call), • On site technical test (up to 2 hours), • A face-to face or-video call with the hiring manager (45 minutes) What’s In It For You • £50,000 + up to 20% of your annual salary, paid as a bonus., • This role can be based at either our Blackpool or Manchester office., • 37.5 hours per week. We offer flexible working hours between our core hours of 8am- 6pm, Monday to Friday., • The opportunity to complete formal qualifications and learn on the job in a successful, growing organisation., • And many more benefits to support your wellbeing and professional development. Typically, the average successful applicant will be within this timeline for 2-3 weeks. Please note we will close this role once we have enough applications for the next stages therefore you should submit your application asap to avoid any disappointment. If you do not receive a response after 3 weeks of applying, please assume you have been unsuccessful as we may experience a high volume of applications. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have any questions or suggestions of how we can assist you in your application due to disability or personal reasons, please email . PLEASE NOTE - As we are financial services company, we are required to run DBS and Credit Checks on all of our successful candidates. This information MUST be disclosed at the time of your initial screening call should you be invited to interview.

Data Engineer - AWS Salary: £60,000 Location: Manchester - Hybrid Maxwell Bond have partnered with a Manchester based technology and market research company who are looking for a Data Engineer to join the team on a permanent basis. As Data Engineer, you'll work on a mixture of real time and batch ETL jobs on a large and complex dataset. You'll be a subject matter expert for data pipeline and working with stakeholders to understand requirements. What You’ll Do as Data Engineer: • Work on complex data projects, using tools such as Apache Spark, Athena and AWS., • Review and measure the performance of the data pipeline, identifying improvements in design, architecture and tooling., • Work with stakeholders and support production systems running the deployed data software. What We’re Looking For: • 4+ years' experience in a Data Engineer role, with proven experience on AWS., • Strong skills in SQL, Python, and Apache Spark (Scala or Python)., • Knowledge of software development best practices and ability to problem-solve whilst working on large, complex data sets. What You’ll Get as Data Engineer: • 25 days annual leave & bank holidays., • Bonus scheme & budget for training programs., • Hybrid working in Manchester, • Pension contribution & life assurance coverage. This is a great opportunity for a Data Engineer who's looking to join a growing business and progress their career. If you're an experienced Data Engineer and ready for a change, apply now!!

New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester • Manchester location – hybrid working when possible, • Must hold active Enhanced DV Clearance (West), • Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus, • Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: • Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi)., • Ensure data consistency, quality, and security across all processes., • Create and maintain database schemas and data models., • Integrate and enrich data from diverse sources, maintaining data integrity., • Maintain and enhance existing architectural components such as Data Ingest and Data Stores., • Troubleshoot and diagnose issues within integrated (enriched) data systems., • Collaborate with the scrum team to decompose user requirements into epics and stories., • Write clean, secure, and reusable code following a test-driven development approach., • Monitor system performance and implement updates to maintain optimal operation. The Data Engineer Should Have: • Active eDV clearance (West), • Willingness to work full-time on-site in Manchester when required. Required technical experience in the following: • Apache Kafka, • Apache NiFI, • SQL and noSQL databases (e.g. MongoDB), • ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on 0161 416 6800 / 07719065951 - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies (searchability). I look forward to hearing from you. KEY SKILLS: DATA ENGINEER / DATA ENGINEERING / DEFENCE / NATIONAL SECURITY / DATA STRATEGY / DATA PIPELINES / DATA GOVERNANCE / SQL / NOSQL / APACHE / NIFI / KAFKA / ETL / MANCHESTER / DV / SECURITY CLEARED / DV CLEARANCE

The Firm Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has over 100 employees across offices in London, Manchester, Birmingham, and Liverpool, representing over 250,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. Our ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Legatus Holdings), this allows us to take on larger, headline making cases with greater efficiency and confidence. All of our cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2026, and Band 2 for Group Litigation: Claimant in Chambers and Partners 2026. The Role Role Summary As a Data Analyst you will play a pivotal role in providing valuable insights and analysis to internal and external customers. Working in a small team, you will collaborate with Legal teams, data engineers and developers to strengthen data-driven decision-making across the organisation. By delivering high quality analytical solutions across reporting solutions such as Power BI, the Data Analyst enables teams to make informed decisions, identify performance drivers, and continuously improve operational outcomes. Key Responsibilities: Reporting & Data Visualisation • Design, build, and maintain reports and dashboards that turn complex data into clear, actionable insights, • Apply data visualisation best practices to effectively communicate findings to varied audiences, • Automate routine and recurring reports to improve efficiency and consistency. Data Analysis & Insight • Analyse large and complex datasets to identify trends, patterns, and opportunities aligned to business objectives, • Provide analytical support to inform key business initiatives and decision making, • Generate meaningful insights to support both operational and strategic outcomes Stakeholder Engagement • Collaborate with business teams to gather reporting requirements and translate them into technical specifications., • Provide guidance and training to end‑users on accessing, interpreting, and leveraging reports and dashboards effectively., • Present insights and recommendations that influence operational and strategic decision‑making. Data Quality, Governance & Integrity • Ensure data quality, accuracy, and consistency across all reports and analytical outputs, • Carry out regular data cleansing, validation, and reconciliation activities, • Support the implementation and adherence to data governance policies and standards Documentation & Knowledge Sharing • Document methodologies, processes, and outputs to promote transparency, repeatability, and knowledge sharing Continuous Improvement • Monitor the performance of existing reports and dashboards, implementing improvements where needed., • Contribute to the development of reporting standards, documentation, data definitions, and governance practices. Essential Skills & Experience: ·Degree in a STEM subject or experience in data analysis or business intelligence. ·Proficiency in Power BI, including data modelling, DAX, and visualisation best practices. ·Strong analytical skills with the ability to interpret complex datasets. ·Solid SQL skills for querying and preparing data. ·Experience working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‑integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people is underpinned by our commitment to equity, diversity, inclusion and well-being. Our ambition is to build a richly diverse workforce made up of the best talent in our industry. With a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues. This means that everyone who either applies to or works for KP Law is treated equally, regardless of their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation, or religious beliefs. Our Values At KP Law, we pride ourselves on being a values-led law firm. Excellence in Everything ·We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do. ·We seek continuing competence by embracing feedback, learning from our experiences and that of others, and developing our expertise. ·We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service. Together We Achieve More ·We collaborate openly, valuing and respecting diverse perspectives to achieve the best results. ·We support and trust one another, fostering an inclusive environment where everyone can contribute and thrive. ·We recognise that success is a team effort, sharing knowledge and celebrating each other’s achievements. There’s Always a Way ·We approach challenges with a positive and proactive mindset, exploring creative and practical solutions. ·We take ownership of problems, staying committed and resilient until we achieve the best outcome. ·We embrace change and adaptability, seeing obstacles as opportunities to improve and innovate. Our Benefits We strive to offer a rounded benefits package, that employees value, no matter what stage of their career they are in. Current benefits include: • Annual discretionary bonus scheme, • Company contributory pension scheme, • Hybrid working, • Life assurance, • Cash-back healthcare scheme, • Enhanced family friendly polices, • Employee Assistance Programme, • Subsidised gym membership, • Cycle to Work scheme, • Staff referral scheme

BI Developer – Azure & Power BI (Tech for Good) 📍 Manchester City Centre | Hybrid (3 days onsite) This is a great opportunity for a BI Developer or Data Analyst who enjoys being hands-on with data and wants to help shape a growing analytics capability without getting pulled into overly complex enterprise architecture. The company is evolving its data platform and looking for someone who can work across ETL processes, data modelling, and Power BI development - helping improve and simplify the way data is moved, structured, and delivered across the business. Initially, the focus will be on practical hands-on work: • improving existing ETL processes, • supporting data transformation work, • refining reporting and dashboards, • helping create a stable, scalable BI environment Over time, the role will naturally evolve towards: • analytics, • dashboard development, • stakeholder engagement, • internal BI consulting You’ll work closely with developers, graduates, and stakeholders across the organisation, becoming the team’s go-to hands-on BI specialist without needing to be a full architect or data engineer. This is a Tech for Good business whose work genuinely improves people’s health and wellbeing, so there’s real meaning behind the projects you’ll be supporting. Interview slots are already booked in so the process will move quickly. If this looks like a great fit then please apply today.

Data Engineer £50-58k basic + 5% bonus Hybrid | Manchester A growing organisation is seeking a skilled and motivated Data Engineer to join its data platform team and help build the next generation of its Azure and Microsoft Fabric‑based data estate. This role is ideal for an engineer who enjoys designing robust pipelines, shaping modern data layers, and working closely with analysts, architects, and business stakeholders to deliver high‑quality, governed data products. If you want to work with cutting‑edge Azure technologies, contribute to a modern medallion‑based architecture, and play a key role in developing scalable, reliable data solutions, this is an excellent opportunity. The Opportunity You will design, build, and operate data pipelines and platform components that power analytics, reporting, and operational systems across the organisation. Working within a modern cloud environment centred on Microsoft Fabric, you will help evolve the data platform, improve data quality, and support the delivery of trusted, well‑structured data products. Benefits • Basic salary £50-57k, • A discretionary bonus scheme based on company and personal performance (defined each year, usually around 5%), • A hybrid work arrangement – 3 days a week in Manchester office, • A pension scheme of 5% matched contribution, • Company shares scheme – once a year you can buy shares at a discounted rate and pay for these monthly over 3 years before cashing them in or getting your saved money back., • Life Assurance x4 salary, • 33 days holidays (including bank holidays), • EAP, • Benefits portal providing discounts to many leading brands Key Responsibilities Data Pipeline and Platform Engineering • Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory and Microsoft Fabric., • Implement and maintain medallion architecture (Bronze, Silver, Gold) across the data platform., • Engineer reliable ingestion from APIs, databases, flat files, and event streams., • Monitor pipeline performance, troubleshoot failures, and implement observability and alerting practices. Master Data and Data Quality • Support the design and operation of master data management frameworks., • Apply data quality rules, validation logic, and deduplication processes., • Work with business teams to define canonical entities, hierarchies, and golden records. Azure and Cloud Platform Engineering • Work hands‑on with Azure services including ADLS, Azure SQL, ADF, and Event Hubs., • Manage storage layers including Delta Lake and OneLake within Microsoft Fabric., • Contribute to infrastructure‑as‑code practices and environment provisioning. Integrations and APIs • Design and maintain integration patterns across internal systems and third‑party platforms., • Build and consume REST APIs and event‑driven integrations to support near real‑time data flows., • Collaborate with software engineers and architects to ensure secure, scalable integrations. Required Skills and Experience • Solid hands‑on experience in data engineering, including pipelines, ETL/ELT, and data modelling., • Proficiency with Azure Data Factory for orchestration and data movement., • Experience with or strong interest in Microsoft Fabric and its lakehouse and pipeline capabilities., • Practical understanding of medallion architecture and structured data layers., • Familiarity with master data management concepts., • Strong skills in Python and/or SQL for transformation, automation, and quality checks., • Experience integrating with APIs and designing robust data integration patterns., • Good understanding of Azure services including ADLS, Azure SQL, Key Vault, and Event Hubs. Desirable Skills • Experience with Fabric Lakehouses, Warehouses, and Data Pipelines., • Exposure to streaming or event‑driven patterns such as Event Hubs or Kafka., • Familiarity with DevOps, CI/CD, Git, and Azure DevOps., • Knowledge of data governance, cataloguing, or Microsoft Purview., • Background in high‑volume operational or analytical environments.

Senior Data Engineer £80,000 - £100,000 Remote (UK-Based) An opportunity for a highly technical Senior Data Engineer looking to join a fast-growing online gambling and sports betting platform that focuses on its first-in-class mobile app. THE COMPANY This future-ready online gambling and sports betting platform offers customers the best mobile app experience in the industry. THE ROLE As a Senior Data Engineer, you will sit within a high calibre data engineering team, owning and evolving core ETL pipelines that underpin the entire data platform. The focus is on building reliable, well-modelled data assets that can scale with the business. Specifically, you can expect to be involved in the following: • ETL pipelines for data ingestion and data modelling, • Using AWS to store and process data, with Snowflake as the data warehouse, • Use of Python and SQL The successful Senior Data Engineer will have the following skills and experience: • Strong Python and SQL skills, • AWS or GCP (NOT Azure), • Orchestration, ideally with Airflow or Dagsta but open to others, • Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) The successful Senior Data Engineer will receive the following benefits: Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Palantir Data Consultant – Defence & Security Bristol, London or Manchester DV Clearance Eligible Required The Opportunity An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes. This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-critical solutions using the Palantir platform. Key Responsibilities • Design, build, and optimise data pipelines and ETL workflows within Palantir Foundry, • Develop scalable data models and architect robust Foundry solutions, • Transform complex, multi-source data into structured, high-quality assets, • Implement data governance, lineage, and quality frameworks, • Develop applications within the Palantir ecosystem (low-code and pro-code), • Collaborate with cross-functional teams using agile methodologies, • Translate business requirements into technical solutions that deliver measurable outcomes Required Experience & Skills • Hands-on experience with Palantir Foundry and/or Gotham, • Strong background in data engineering, including ETL and pipeline development, • Experience working with batch, streaming, and unstructured data, • Proficiency in Python and/or TypeScript, • Understanding of data modelling, system design, and scalable architectures, • Knowledge of data governance, metadata management, and security principles, • Strong communication skills with the ability to engage technical and non-technical stakeholders, • Familiarity with SDLC, version control, and CI/CD practices Security Requirements Candidates must have an active UK Developed Vetting (DV) clearance.

Data Engineer • Salary up to £60,000 + discretionary bonus, • Hybrid working model with collaborative office environment, • Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance. This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform. WHAT WILL YOU BE DOING? As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You’ll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You’ll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation’s data ecosystem. OUR BENEFITS: • Competitive basic salary, • Discretionary bonus scheme, • Company shares option plan, • Contributory pension scheme, • Life insurance (4x basic salary), • Health cash plan, • Generous holiday allowance including bank holidays, • Study support and clear progression opportunities, • Employee assistance programme available 24/7, • Collaborative office environment with regular social and charity events, • And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS • Strong experience with Databricks and Apache Spark (PySpark or Scala), • Experience building streaming and batch pipelines using Spark Structured Streaming, • Hands-on experience with Kafka (MSK) and real-time data ingestion, • Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture, • Proficiency in Python and SQL for data engineering and analytics TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Overseeing the development and operation of AJ Bell’s data engineering capabilities, including data ingestion, transformation, pro

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

Data Engineers — Contract Multiple roles · Mid-level & Senior · Hybrid (UK) 📌 Rate: £450–£600 per day (Inside IR35, dependent on experience) 📌 Duration: 6-month SOW initially; longer-term programme (2–3 years overall) 📌 Location: Remote (UK-based) — occasional travel to the Midlands (up to 2 days/month) 📌 Clearance: SC eligible required (UK residency) Hanover are building two data engineering teams to support a large-scale, long-running programme within Central Government. This role centres around designing and building data pipelines in a modern cloud environment, embedded within multi-disciplinary Agile teams. There are both mid-level, senior and lead positions available, so we're open to a range of experience levels. What you'll be doing – Designing, building and maintaining scalable ETL/ELT data pipelines – Working with structured data sources to support analytics and downstream services – Collaborating within Agile delivery teams alongside engineers of mixed seniority – Improving data quality, performance and reliability – Contributing to knowledge sharing and good engineering practice across teams What we're looking for – Strong background as a Data Engineer in complex, delivery-led environments – Solid ETL/ELT experience — Talend is highly desirable – Experience with one or more of: AWS, Oracle, PL/SQL, PostgreSQL – Strong SQL and data modelling fundamentals – Comfortable working in Agile teams with real delivery pressure Nice to have – Central or wider public sector experience – Exposure to large-scale or regulated data environments

Database Engineer - Manchester (Hybrid) We are currently partnered with a global professional services organisation to recruit for Database Engineer. This role sits within a technology team responsible for designing, optimising and maintaining high-performance database platforms that underpin SaaS applications, reporting environments and client billing systems. The position combines technical leadership with hands-on engineering. Key responsibilities: • Design and optimise scalable, high-performance SQL database architectures, • Own and improve stored procedures, reusable scripts and database standards, • Provide technical leadership, mentoring junior engineers and leading code reviews, • Deliver clear documentation covering data models and architectural decisions, • Drive database-focused projects through to delivery Key requirements: • Strong experience with Azure SQL and complex relational database design, • Advanced T-SQL skills, including stored procedures and performance tuning, • Experience across OLTP and OLAP data models, • Expertise in security, scaling, cost optimisation and database maintenance, • Experience building ETL/ELT pipelines (e.g. Azure Data Factory, dbt), • Knowledge of Power BI-optimised data models and reporting performance Location & working pattern: Manchester - 3 days in the office / 2 days remote (company policy) Database Engineer - Manc...

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

ETL Developer - ETL, SQL, Data Migration, SQL Scripts, Relational Database Design.I am seeking a Data Migration Engineer/ETL Developer to join my client who is a leading technology company within the public services space.Architected and implemented robust SQL-based ETL solutions to migrate high-vol

Responsibilities include building ETL pipelines, writing scalable code, and optimizing SQL queries. Candidates should have over 3 years of Python experience, strong AWS skills, and SQL proficiency.

Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Experience working with data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational da

The role involves designing and maintaining data pipelines using Azure Data Factory and Logic Apps, developing ETL/ELT processes, and ensuring data integration across various services. Talent is seeking a Data Engineer to join their growing SaaS business in Manchester. The position offers a salary o

What You’ll Be DoingLead and mentor a team of Data Engineers in an Agile delivery environmentOwn technical planning, roadmap alignment, sprint execution, and delivery trackingBuild and maintain scalable ETL/ELT pipel

A leading consulting firm in Manchester seeks a Data Engineer with experience in AWS cloud technologies.The role involves designing and building scalable applications, collaborating with multiple teams, and working on diverse projects.Ideal candidates will have skills in data pipelines, AWS, and pro

A UK-based technology firm is seeking a Database Administrator (DBA) to enhance their data solutions in Manchester.The role involves developing strategies for database architecture, ensuring performance optimization, and maintaining data integrity.Ideal candidates will possess strong SQL skills and

Senior GCP Data Engineer Lancashire – Permanent – Hybrid Competitive Salary VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team. Key Responsibilities: • Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer. • Own the full data product lifecycle, from initial design through to decommissioning. • Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling. • Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges. • Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance. • Produce clear, well-documented solutions for both technical and non-technical audiences. • Support CI/CD, environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years’ experience as a Data Engineer with a strong focus on ETL / ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication skills and the ability to lead by example within engineering teams. • Experience supporting mergers, integrations, or large-scale organisational change is highly desirable. Senior GCP Data Engineer London – Permanent – Hybrid Competitive Salary Apply today to speak with VIQU in confidence or contact Belle Hegarty at . Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply). Follow us on LinkedIn @VIQU IT Recruitment for more exciting opportunities

My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements • 3+ years of Python in production environments, • Strong AWS experience across core services, • Strong SQL skills for querying, transformation, and optimisation, • Experience with Apache Spark or serverless architectures Core responsibilities and skills • Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets, • Write clean, scalable Python code for data ingestion, transformation, and processing, • Design and optimise SQL queries for performance, cost, and reliability across large data volumes, • Model and transform data into well-structured, reusable datasets for downstream use, • Work with distributed data processing tools such as Apache Spark to handle high-volume workloads, • Improve existing pipelines by identifying bottlenecks and refactoring code and queries, • Develop and maintain data workflows, scheduling, and orchestration processes, • Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation, • Work with services such as S3, Lambda, and other serverless components to build scalable data solutions, • Collaborate with analysts, data scientists, and engineers to deliver high-quality data products, • Follow Agile practices with a focus on continuous integration, testing, and code quality, • Use modern tooling, including AI-assisted development, to improve productivity and output

Database Engineer - Manchester (Hybrid) We are currently partnered with a global professional services organisation to recruit for Database Engineer. This role sits within a technology team responsible for designing, optimising and maintaining high‑performance database platforms that underpin SaaS applications, reporting environments and client billing systems. The position combines technical leadership with hands‑on engineering. Key responsibilities: • Design and optimise scalable, high‑performance SQL database architectures - Own and improve stored procedures, reusable scripts and database standards - Provide technical leadership, mentoring junior engineers and leading code reviews - Deliver clear documentation covering data models and architectural decisions - Drive database‑focused projects through to delivery Key requirements: • Strong experience with Azure SQL and complex relational database design - Advanced T‑SQL skills, including stored procedures and performance tuning - Experience across OLTP and OLAP data models - Expertise in security, scaling, cost optimisation and database maintenance - Experience building ETL/ELT pipelines (e.g. Azure Data Factory, dbt) - Knowledge of Power BI‑optimised data models and reporting performance Location & working pattern: Manchester - 3 days in the office / 2 days remote (company policy) Database Engineer - Manchester (Hybrid) In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business

The role focuses on back-end development for data services, requiring expertise in Python and ETL processes.

Key responsibilities include designing ELT/ETL pipelines using Microsoft Fabric and optimising data warehouse architecture.

K + 12% Bonus + Benefits + Annual Salary Increase.We’re working with a London-based insurance broker who are looking to hire an experienced.This is a key hire, working closely with senior leadership to shape how data is structured, delivered, and leveraged across the business.You’ll play a centr

The candidate will manage project timelines, implement ETL workflows, and support onboarding processes.

You'll establish new integrations and conduct ETL processes while collaborating with SMEs on data models.

Responsibilities include designing ETL/ELT pipelines and creating robust data models.

A data solutions company in Greater London is seeking a skilled Data Engineer to enhance data platforms across transformation programmes.The successful candidate will develop data pipelines using cloud-native technologies, support integration of data sources, and contribute to best practices.Experie

You will work with big data solutions, developing ETL/ELT processes in a collaborative environment.

Client Server in Greater London is seeking a Data Engineer with strong Python and ETL skills to work on complex systems in a flexible work environment.

The ideal candidate will have experience with SQL, ETL/ELT tools, and knowledge of the Azure cloud data stack.

Key qualifications include experience in test automation for ETL processes, proficiency in SQL, and hands-on knowledge of Python.

The role involves designing and executing tests for ETL loads, ensuring data quality, and performing functional and regression testing across APIs.

The role involves developing ETL and ELT pipelines, integrating data from various platforms, and translating business needs into data solutions.

Develop and maintain ETL processes (data ingestion, transformation, reporting, etc.

A global leader in electronic trading is seeking a Data Platform Engineer based in Greater London.This role involves building and managing data processes on Tradeweb's platform, optimizing code and enhancing data pipelines.Candidates should have over 3 years of experience in Data Platform Engineerin

Validus Risk Management is seeking a Python Software Engineer to join their Client Success Team in Greater London.The role involves owning multiple concurrent initiatives and designing full stack solutions that align with best practices.Candidates should have 1–3 years of software development expe

Candidates should have strong SQL and experience with ETL/ELT tools like Talend or Informatica, alongside knowledge of cloud platforms such as AWS.

A leading hedge fund in Greater London is seeking a Data Engineer to join their Industrials portfolio team.This role involves developing data pipelines and infrastructure, supporting investment decisions through robust data analysis, and communicating insights effectively within a technical team.Ide

Nomia Ltd in Greater London is seeking a Data Engineer to drive innovation through data solutions.The ideal candidate should have over 3 years of experience in data engineering, expertise in Microsoft Azure tools, and proficiency in Python and PostgreSQL.Responsibilities include designing data pipel

A leading technology company in the public sector seeks an ETL Developer to design and implement SQL-based ETL solutions for migrating high-volume data. Key skills include ETL processes, SQL, and data migration.