Job description
The Senior Data Engineer role focuses on the production of scalable and robust data solutions for our clients, through conception, deployment and their ongoing evolution. Working closely with stakeholders across the business – including product managers, analysts, and software developers you will ensure seamless data integration and reporting capabilities to support informed decision-making.
The role focuses on building and optimising data pipelines, managing data warehousing, and ensuring high-quality data availability for business insights. You will be instrumental in enabling efficient data processing, transformation, and analysis through best-in-class technologies and methodologies.
Your ability to design scalable data solutions, solve problems creatively, and collaborate with both technical and non-technical teams will be crucial to success. While technical expertise is at the core of the role, strong communication skills and a proactive mindset are equally important to ensure the delivery of robust, future-proof data solutions.
Key Skills
- Experience developing modern data stacks and cloud data platforms.
- Capable of engineering scalable data pipelines using ETL/ELT tools e.g. Apache Spark, Airflow, dbt.
- Expertise with cloud data platforms e.g. AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow).
- Proficiency in data processing languages e.g. Python, Java, SQL
- The ability to design and implement reliable, maintainable and performant data architectures.
- Good knowledge of data warehousing, data lakes, and data lakehouse architectures.
- Broad experience with visualization tools e.g. PowerBI, QuickSight, Tableau.
- Comfortability with agile ways of working.
- Good communication and teamwork skills.
- Willing to embrace complexity and uncertainty.
- An analytical mind and good attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
