Azure Data Factory Jobs in Derby

2 of 2 Azure Data Factory Jobs in Derby

Data Engineer

DE1, Derby, Derbyshire, United Kingdom
Makutu
About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role is key … technical team at Makutu. The role will provide the successful applicants with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success. Working as part of the team and with the customer, you'll require … excellent written and verbal English language and communication skills. Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office and customers More ❯
Employment Type: Permanent
Salary: £30000 - £40000/annum
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Data Architect

Derby, England, United Kingdom
SPG Resourcing
Data Architect (Databricks SME) Location - Derby (1/2 days a month) Type - Contract (End of the year - likely to extend) Role Overview: I'm looking for a Databricks Specialist with strong experience in the Azure ecosystem to help design, build, and optimise a scalable data platform. This role combines hands-on development with … teams. Key Responsibilities: Design and implement Databricks Lakehouse architecture (Delta Lake, Unity Catalog, etc.) Develop ETL/ELT pipelines using Spark, Python, SQL, and Databricks workflows Integrate with Azure services and BI tools (e.g., Power BI) Optimise performance and support CI/CD and MLOps pipelines Enable knowledge transfer through code reviews, training, and reusable templates Key Skill … s: In-depth experience with Databricks (Delta Lake, Unity Catalog, Lakehouse architecture). Strong knowledge of Azure services (e.g. Data Lake, Data Factory, Synapse). Solid hands-on skills in Spark, Python, PySpark, and SQL. Understanding of data modelling, governance, and BI integration. Familiarity with CI/CD, Git, and More ❯
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