Venn Group

Venn Group are working in partnership with a well-regarded public sector organisation to recruit a Data Engineer into a growing data and analytics function. This is an exciting opportunity for an experienced data professional to play a key role in shaping and developing modern data solutions that support operational reporting, business intelligence and strategic decision making. You'll be responsible for designing and maintaining scalable data pipelines, developing robust data models and ensuring high quality, secure and accessible data across the organisation's reporting environment. Key Responsibilities Build and maintain data pipelines using Microsoft Fabric and related technologies Develop lakehouse architectures, data models and semantic layers Integrate data from a variety of operational systems, cloud platforms and APIs Optimise datasets and reporting performance within the Microsoft ecosystem Support data governance, quality, security and compliance initiatives Work closely with analysts and stakeholders to deliver effective data solutions Requirements Proven experience in data engineering using Microsoft Fabric, Azure or similar platforms Strong knowledge of data modelling and modern analytics architectures Experience optimising data for Power BI reporting and dashboards Strong SQL skills with experience of DAX and Python or other scripting languages Understanding of data governance, GDPR and data quality best practice Excellent communication and stakeholder engagement skills

Venn Group are recruiting for a Automation Test Engineer on behalf of an MSP delivering national services. IR35 Status: Outside Rate: £500 per day Length: August to 28th February 2027 Working Arrangements: Hybrid - primarily remote with occasional office and site visits The Automation Test Engineer will design and implement automated testing across a multi-supplier platform including: case management / CRM, government integrations, handheld applications, payment services, BI/reporting, and Azure integrations. The role will focus on API automation, contract testing, supplier assurance, and automated validation of lifecycle and reporting processes. Onsite attendance to the primary office in Manchester will be required 1-2 days a month, with travel to Swansea and other sites on occasion. Increased attendance to the offices may be required near to go-live. The target start for this role is 10th of August, pending interviews and onboarding. Responsibilities: Develop and maintain API and integration test automation Implement contract testing across key interfaces Automate case lifecycle and state-transition testing Validate integrations with DVLA, payments, BI, and handheld solutions Support supplier assurance and review testing evidence Automate BI/reporting reconciliation and KPI validation Develop repeatable test data and regression suites Support performance, auditability, and resilience testing Essential skills and experience: API and integration test automation Contract testing REST/SOAP APIs Test automation frameworks and CI/CD pipelines Experience testing distributed and event-driven systems Test data management and reporting validation Strong troubleshooting and log analysis skills Desirable skills and experience: API and integration test automation Azure integrations Mobile/handheld application testing Power BI / reporting validation Public sector or regulated environments To be considered for this position and for further information on this and other roles please apply with an updated CV.

Senior Data Engineer & Technical Delivery Lead (Python / Databricks) Location: London (Hybrid - 2-3 days onsite) Contract: Initial 6 months We're currently supporting a major Investment Bank that's expanding its Data Engineering function and is looking to hire multiple contractors across Senior Data Engineer and Technical Delivery Lead level. Whether you're a highly technical Senior Data Engineer looking to remain hands-on, or an experienced Technical Lead who enjoys combining delivery leadership with coding, we'd be keen to speak with you. You'll be joining a large-scale cloud data transformation programme, helping design, build and optimise enterprise data platforms using Python, Databricks and Spark within a modern Lakehouse environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high levels of data quality, governance and pipeline reliability. Optimise performance across large-scale distributed data processing platforms. Collaborate with architects, product owners, analysts and engineering teams to deliver high-quality data solutions. Implement monitoring, logging and alerting across critical data platforms. Drive engineering best practice through code reviews, mentoring and technical collaboration. For Technical Delivery Lead opportunities, provide technical leadership, architectural oversight and end-to-end delivery of complex data engineering initiatives. Required Skills & Experience Strong commercial experience developing data engineering solutions using Python . Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark / PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery. Experience with orchestration tools such as Airflow or Databricks Workflows. Previous experience working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka or Structured Streaming. CI/CD and DevOps practices. Docker and Kubernetes. Exposure to Machine Learning pipelines. Experience within Financial Services or other highly regulated environments. About You You'll be an experienced Data Engineer or Technical Lead with a passion for building modern, scalable data platforms. Comfortable working in a collaborative Agile environment, you'll enjoy solving complex technical problems and delivering high-quality engineering solutions. If you're applying at Technical Delivery Lead level, you'll also bring strong leadership, stakeholder management and mentoring experience whilst remaining hands-on technically.