Notice period: 30 days max We are looking to hire skilled professionals to help build out an enterprise-grade dataquality profiling solution. A working Proof of Concept (PoC) has already been implemented over Avaloq using the existing Oracle APEX infrastructure. The next phase is focused on industrialising the solution and scaling it for broader use. Responsibilities: Enhance … and productionise the existing dataquality profiling PoC using Oracle APEX Collaborate with SMEs and technical stakeholders to capture and refine business and technical requirements Translate high-level discussions into structured documentation and user stories Work closely with DBAs and architects to optimise performance and scalability Ensure alignment with industry-standard dataquality profiling frameworks and … dimensions (e.g., completeness, accuracy, consistency) Support solution testing and deployment in both development and production environments Mandatory Skills Description: Expertise in Oracle APEX: Proven experience developing complex, data-centric applications Strong Business Analysis (BA) capabilities: Self-starter with the ability to independently engage SMEs and document requirements Oracle PL/SQL: Solid coding and troubleshooting skills; performance tuning and More ❯
City of London, Greater London, UK Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation
Geospatial Data Architect (Data Modelling | EA Sparx) Outside IR35 | Remote | 500-550 SR2 is partnered with a leading consultancy delivering a national-scale geospatial and land data ecosystem for a high-profile public sector client. Were looking for an experienced Geospatial Data Architect to define and govern the data architecture that underpins basemap development, land … data modelling, and platform assessment workstreams. This is a key role shaping how spatial data is modelled, integrated, and managed across a modern, cloud-enabled environment, ensuring dataquality, consistency, and interoperability across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA … Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap analysis between existing datasets and future platform requirements Define and validate integration points, APIs, and interoperability standards between systems More ❯
Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: 90,000100,000 Sector: Fintech Were looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector . This role is ideal for someone who began their career as a Data Analyst and has since transitioned into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. Youll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-qualitydata pipelines and models that support decision-making across the business. … This is a hands-on, collaborative role, suited to someone whos confident communicating with data, product, and engineering teams, not a heads-down coder type. Top 4 Core Skills Python workflow automation, data processing, and ETL/ELT development. Snowflake scalable data architecture, performance optimisation, and governance. SQL expert-level query writing and optimisation for analytics and More ❯
by Fast Track and published in The Sunday Times each September, celebrates Britain's private mid-market growth companies with the biggest performance. Purpose : We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for the development of data engineering processes within a customer-facing data warehousing product. … in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. … You will be able to design and develop end-to-end data pipelines to handle complex transformations and large-scale processing. You will have experience improving data reliability and quality through automated testing, monitoring and validation frameworks. This is a great opportunity for you to join a growing and investing product and customer centric business, with the More ❯
City of London, Greater London, UK Hybrid / WFH Options
Ascentia Partners
Data Engineer (Insurance OR Financial Services Background) - London - 75,000-85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary reviews. Role … Overview This position is perfect for someone who takes pride in owning data, code, and outcomes. Youll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure dataquality, consistency, and scalability across the board. Partnering with teams across Pricing and Underwriting … Data Science, and Engineering, youll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain dataMore ❯
Data Scientist | Renewable Energy | Up to 600/Day | Outside IR35 | Remote, LDN | 6 Mths Rolling One of our Renewable Energy clients in the sustainable infrastructure space is seeking an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights … and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within the business - the company operates in a highly dynamic sector with a strong focus on innovation and efficiency. As a Data Scientist, you'll work closely with … both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring dataquality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day Outside IR35 6 months More ❯
City of London, Greater London, UK Hybrid / WFH Options
VirtueTech Recruitment Group
financial and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. Youll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 6 month rolling contract (strong likelihood of multi-year renewals) Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve dataquality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or More ❯