Role Purpose:To lead data science projects from initial problem statement, through to data exploration, transformation, and the application of enhanced analytics to our existing business processes. In addition, support the Commercial team in transforming the capabilities of data analytics, data engineering and data science. Being a part of the central data team as a dedicated resource to … make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, AzureSynapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business … needs into technical requirements Experience of liaising effectively with Data Engineers and a thorough understanding of modern software development practices and tools (e.g. testing, containerisation and Azure cloud technologies). Working in an agile methodology through the use of Jira and Confluence (Sprints and project management) Comfortable challenging stakeholders to migrate flat file data into a consolidated environment, improving More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Kerv Digital for Digital Transformation
to B; but still an engineer at heart, working to best practise in-mind. You learn fast and love to build. Cloud experience is essential, hands-on skills in Azure preferred. All backgrounds will always be considered and experience here is far more important, we're after someone with a numerate background and proven experience working in a data … engineering role in an Azure ecosystem. Required Experience: • Creating mapping specifications between legacy and CRM, ERP, Finance applications • Integration to D365, Dataverse solutions or other SaaS applications • Data Quality Frameworks: Soda.io, Great Expectations, DBT • Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets • Extracting data from … a variety of sources including SQL databases, document databases, graph databases, web APIs, etc. • Building dashboards to reconcile migrated data Desirable experience: • Azure data certifications • AzureSynapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for More ❯
Longbridge, City and Borough of Birmingham, West Midlands (County), United Kingdom Hybrid / WFH Options
Kerv Digital
to B; but still an engineer at heart, working to best practise in-mind. You learn fast and love to build. Cloud experience is essential, hands-on skills in Azure preferred. All backgrounds will always be considered and experience here is far more important, we’re after someone with a numerate background and proven experience working in a data … engineering role in an Azure ecosystem. Required Experience: Creating mapping specifications between legacy and CRM, ERP, Finance applications Integration to D365, Dataverse solutions or other SaaS applications Data Quality Frameworks: Soda.io, Great Expectations, DBT Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets Extracting data from … a variety of sources including SQL databases, document databases, graph databases, web APIs, etc. Building dashboards to reconcile migrated data Desirable experience: Azure data certifications AzureSynapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for More ❯
s leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications Team, Finance, the Data Governance & Quality Manager, and the wider IT function to ensure our data … remains accurate, timely, and trusted. This is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're … and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment More ❯
West Midlands, England, United Kingdom Hybrid / WFH Options
itecopeople
Contract Reporting Lead - Power BI/Dynamics/Azure 6 Months | Hybrid (West Midlands, 1-2 days/month) | up to c£600/day (Outside IR35) We're looking for a Reporting Lead to drive the reporting strategy for a key transformation programme, replacing legacy customer and property data systems with Dynamics 365 and Microsoft Fabric . This … best practice) Experience with Microsoft Fabric (early-stage or implementation exposure ideal) Familiarity with Dynamics 365: Customer Engagement (esp. iProperty Cloud) Finance & Operations Understanding of data flows between Dynamics, Azure, and reporting platforms Experience with Azure Data Services (Data Factory, SynapseAnalytics) Confident facilitator of workshops and capable of translating complex needs into clear plans Excellent More ❯
Walsall, West Midlands, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation - a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies. You'll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior … someone who thrives in both strategy and delivery. Ideal Candidate: Proven leadership of large data engineering teams (UK and offshore) Deep expertise in SQL Server, and experience migrating to Azure cloud Experience managing third-party partners/vendors Ability to stay hands-on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset … with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final 90 minute session with senior leadership (CDO, CTO, CIO) All applicants will undergo standard pre More ❯
Birmingham, West Midlands, England, United Kingdom Hybrid / WFH Options
Broster Buchanan Ltd
of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon.This will be a mostly remote … to gather requirements and translate them into technical solutions Monitor and troubleshoot data processes, ensuring performance and reliability Document data workflows, processes, and system architecture Requirements: Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle Strong experience with … and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data More ❯