Senior Microsoft Data Engineer

Department: Azure

Employment Type: Full Time

Location: UK

Description

Codec are recruiting for a Senior Microsoft Data Engineer. 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 is a hybrid role based in Liverpool.

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. In return, the candidate will be provided with a stable work environment, a true team environment, a structured career path, growth and satisfaction that comes from keeping his/her skills up-to-date by working with the latest technologies.

The Senior MS Data Consultant must have experience in one of the following areas Data Warehouse Design, Modelling, Data Integration, Data Analysis, Reporting and prove consistent business knowledge. You will be 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. You will work as a team member along with business analysts, project managers, developers, technical architects and testers to deliver the complete solution to the customer.

Key Responsibilities

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.

Skills, Knowledge and Expertise

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.
Databricks (Nice to Have) 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.
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.
Python (Nice to Have) Working knowledge of Python for data manipulation, automation, or integration tasks within data engineering or analytics workflows is beneficial.
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.

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