Senior Data Engineer
4 weeks ago
As a key member of the M&S Data Engineering team, you will play a pivotal role in driving our ambition to create a best-in-class data engineering team, environment, and culture. We are seeking a passionate Senior Data Engineer to support the delivery of our data transformation.
You will work with partners from across the business to implement the data strategy, delivering value to the organisation and achieving our goal of democratising data. This is an exciting time for us as we redefine ourselves into a digital-first and data-led organisation, with the quality of our data engineering team being a key differentiator.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Key responsibilities include:
- Building and maintaining high-quality, reliable data solutions and owning it with a high degree of automation in the cloud.
- Supporting other data/ML engineers to produce clean, quality code through code reviews and pair programming.
- Designing, developing, and maintaining scalable data/ML pipelines that adhere to ETL principles and business goals.
- Working with the data architect to build the core data model for the organisation both from an operational and analytical perspective.
- Supporting the build of analytical tools that use the data pipeline to deliver actionable insights, enabling data-driven decision making, operational efficiency, and other key business performance metrics.
We offer a competitive holiday entitlement with the potential to buy extra holiday days, discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business, a generous Defined Contribution Pension Scheme and Life Assurance, and a dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
We are looking for someone with extensive proven experience in cloud-based data technologies and data warehousing design principles, preferably Azure, a sophisticated understanding of design/building end-to-end data/ML solutions, solid experience with ETL tools, Databricks, SQL, and articulable knowledge with schema design and dimensional data modeling, automation processes, and version control tools.
We are committed to creating a best-in-class data engineering team, environment, and culture, and we are looking for someone who shares our passion for data and technology to join us on this journey.
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