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Senior Microsoft Data Engineer

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Codec UK

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Location:
United Kingdom , Liverpool

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This role will require the candidate to be knowledgeable and experienced on Business Intelligence and Data Warehouse. This is a great opportunity for a senior Consultant to grow and develop their career in BI and Data Warehousing. This truly unique opportunity requires a career-oriented individual able to join our Azure, Data & AI Practice and commitment to deliver on time with high quality is a must.

Job Responsibility:

  • Provide top-quality solution design and execution
  • Provide support in defining the scope and sizing of work
  • Align the data solutions with their clients’ initiatives as requested
  • Engage with clients to understand strategic requirements
  • Responsible for translating business requirements into technology solutions
  • Work with domain experts to put together a delivery plan with and stay on track
  • Utilize Cloud and On-Premise technologies to design, develop, and evolve scalable and fault-tolerant distributed components
  • Organize all meetings with customers and ensure prompt resolution of gaps and roadblocks
  • Stay current on latest technology to ensure maximum ROI for clients
  • Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problems
  • Responsible for the overall design and build of business intelligence solutions for a set of clients, delivered on Azure, Microsoft SQL Server and Business Intelligence platforms

Requirements:

  • SQL Server Analysis Services (SSAS)
  • Strong experience designing, developing, and maintaining Analysis Services data cubes and Tabular Models, including data modelling, measures (DAX), performance tuning, and optimisation for enterprise‑scale reporting and analytics
  • SQL Server Integration Services (SSIS)
  • Proven experience building and supporting SSIS packages for ETL processes, including data extraction, transformation, validation, error handling, and scheduling across complex data environments
  • Azure Data Factory
  • Hands‑on experience designing and managing Azure Data Factory data pipelines and data flows, integrating data from multiple sources, automating ingestion processes, and supporting scalable cloud‑based data solutions
  • Power BI
  • Strong experience with Power BI for semantic modelling, dataset design, performance optimisation, and collaboration with stakeholders to deliver reliable, business‑ready analytics solutions
  • Microsoft SQL Server (Cloud & On‑Premises)
  • Extensive experience with Microsoft SQL Server across both cloud and on‑premises environments, including schema design, query optimisation, performance tuning, and data reliability at scale
  • Knowledgeable and experienced on Business Intelligence and Data Warehouse
  • Experience in one of the following areas Data Warehouse Design, Modelling, Data Integration, Data Analysis, Reporting and prove consistent business knowledge

Nice to have:

  • Databricks
  • Exposure to or experience with Azure Databricks for large‑scale data processing, transformation, and analytics
  • Experience working with Spark‑based data engineering workloads is an advantage
  • Python
  • Working knowledge of Python for data manipulation, automation, or integration tasks within data engineering or analytics workflows is beneficial
What we offer:
  • Stable work environment
  • True team environment
  • Structured career path
  • Growth and satisfaction that comes from keeping his/her skills up-to-date by working with the latest technologies

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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