Senior Data Engineer

Location: Remote, United Kingdom

Duration: 6 months

Rate: Up to £550 per day (DOE)

IR35 Status: Outside IR35

We are looking for a highly skilled Senior Data Engineer to join our client's team for an initial 6-month contract role. This position is Outside IR35. You will be involved in building and optimising data pipelines and architecture, supporting data transformation, integration, and delivery in a consultancy environment. This role is ideal for someone with a strong analytical mindset, a deep understanding of data engineering practices, and an ability to adapt to complex client needs.

Key Responsibilities:

• Design, develop and maintain scalable and high-performance data pipelines for structured and unstructured data.
• Implement data integration, extraction, transformation, and loading processes using Apache Spark and Python.
• Develop and maintain dataset documentation and data modelling standards.
• Work with stakeholders to understand business requirements and translate them into technical data solutions.
• Ensure system performance through query optimisation, partitioning, and indexing strategies.
• Contribute to the development and deployment of Power BI dashboards and reports, ensuring appropriate data access and Row-Level Security.
• Follow DevOps and CI/CD practices, maintaining source control using Git and implementing pull-request workflows.

Required Skills and Experience:

• Strong proficiency in SQL, with deep knowledge of indexing, data partitioning, and performance tuning for large datasets.
• Proven recent experience working with MS Fabric will be essential
• Proven expertise in Python with a focus on data libraries such as Pandas, PySpark, and PyArrow.
• Comprehensive experience working with Apache Spark, including structured streaming, batch processing, and Delta Lake architecture.
• Advanced understanding of Power BI visualisation tools, including DAX, data modelling best practices, and implementation of Row-Level Security.
• Hands-on experience with cloud platforms, preferably Azure, including Azure Data Factory, Lake Storage Gen2, Synapse Analytics, and Databricks. Knowledge of AWS or GCP is also acceptable.
• Experience using version control systems such as Git and applying CI/CD pipelines in data engineering projects.

This is an exciting opportunity to work on cutting-edge data engineering projects with significant impact. If you're a problem solver with a passion for data architecture and want to work in a dynamic and collaborative consultancy environment, we’d love to hear from you.