Senior Data Engineer

Sanderson; City Of London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Sanderson is seeking a Senior Data Engineer to join a major data and technology investment. You will join an established data engineering team supporting several transformation programmes, including a new enterprise data platform and reporting improvements.

You will design and build data pipelines, model data, and work with Azure, Fabric and Snowflake, taking ownership and collaborating with architects and delivery teams to deliver robust data solutions.

Qualifications

• Strong experience in data engineering with SQL and ETL/ELT pipelines.
• Experience with Azure, Fabric, Informatica or Snowflake.
• Understanding of data modelling, Medallion architecture, Kimball, SCD.
• Experience coordinating with stakeholders and cross-functional teams.

Responsibilities

• Design, develop and maintain ETL/ELT pipelines.
• Support modern enterprise data platform and Medallion architecture.
• Collaborate with Data Architects and programme teams.
• Develop data models and datasets for reporting and analytics.
• Engage stakeholders to understand requirements and resolve issues.

Skills

Data engineering

SQL

ETL/ELT pipelines

Stakeholder management

Communication

Independent worker

Team collaboration

Tools

Azure

Microsoft Fabric

Informatica

Snowflake

PySpark

Spark

Job description

I am currently recruiting for a Senior Data Engineers to join an organisation undergoing significant investment in its data and technology capabilities. This is an opportunity to join an established data engineering team working across several major transformation programmes, including the implementation of a new enterprise data platform, financial reporting improvements and the replacement of a legacy core system. I am looking for experienced Data Engineers who are technically strong, comfortable engaging with stakeholders and confident taking ownership of their work.

Key Responsibilities

• Design, develop and maintain ETL/ELT pipelines, ensuring data is reliable, accessible and well-governed.
• Support the development of a modern enterprise data platform, including the implementation of Medallion architecture.
• Work closely with Data Architects, Technical Architects and programme teams to deliver data engineering solutions.
• Develop data models and datasets to support business reporting, analytics and wider data requirements.
• Engage with stakeholders to understand requirements, troubleshoot data issues and deliver effective technical solutions.

Skills & Experience

• Strong experience in data engineering, with excellent SQL skills and a solid understanding of ETL/ELT processes and data pipelines.
• Experience working with Microsoft Azure, Microsoft Fabric, Informatica or equivalent platforms such as Snowflake.
• Good understanding of data modelling, Medallion architecture, Kimball methodologies and Slowly Changing Dimensions.
• Exposure to PySpark, Spark or similar data processing technologies would be advantageous.
• Strong stakeholder management and communication skills, with the ability to work independently, take ownership and collaborate across multidisciplinary teams.

If you're an experienced Data Engineer looking to work on large-scale data transformation programmes, feel free to reach out to me on [e-mail]