Senior Data Engineer
Senior Data Engineer
Join a growing data engineering function delivering modern cloud-based data products and platforms that enable better decision-making across the business.
The Opportunity
This role offers the chance to work on a modern cloud data platform, helping to design, build, and deliver scalable data products using leading technologies and engineering practices. Working closely with product managers, architects, and engineers, you will play a key role in solving complex technical challenges and delivering high-quality data solutions.
As a Senior Data Engineer, you will take ownership of the full data product lifecycle, from design and development through to deployment, optimisation, and retirement. You will also support the growth of the wider team through mentoring, peer reviews, and promoting engineering best practices.
Key Responsibilities
- Design, develop, and maintain cloud-based data platforms and products.
- Lead the delivery of data solutions across the full product lifecycle.
- Build and optimise ETL/ELT pipelines and data processing frameworks.
- Collaborate with architects, product managers, and engineering teams to solve technical challenges.
- Produce clear technical documentation and communicate solutions to both technical and non-technical stakeholders.
- Ensure code quality through testing, peer reviews, and adherence to engineering standards.
- Support CI/CD processes, change management, and environment controls.
- Mentor junior engineers and contribute to the development of team capability.
- Drive continuous improvement and adoption of modern data engineering practices.
About You
You are an experienced data engineer with strong technical expertise and a passion for delivering high-quality, scalable data solutions. You enjoy solving complex problems, working collaboratively with stakeholders, and continuously improving the way data products are designed and delivered.
You are comfortable working in cloud environments and have hands-on experience with modern data engineering tools and technologies. You combine technical excellence with strong communication skills and a commitment to mentoring and supporting colleagues.
Essential Skills & Experience
- 5+ years' experience in Data Engineering with a strong focus on ETL/ELT development.
- Strong proficiency in SQL and Python.
- Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker.
- Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered.
- Experience building and maintaining modern data warehouses and data platforms.
- Strong understanding of CI/CD, change management, and environment controls across development, test, and production environments.
- Experience producing clear technical documentation and supporting governance processes.
- Knowledge of Data Mesh principles, Test-Driven Development, and Agile delivery methodologies.
- Strong problem-solving, communication, and stakeholder management skills.
- Experience mentoring junior engineers and contributing to engineering best practices.
This is an excellent opportunity for an experienced Data Engineer to work with modern cloud technologies, influence the design of enterprise-scale data solutions, and play a key role in the continued evolution of a forward-thinking data engineering function.