Senior Data Engineer

Why Greencore?
We're a leading manufacturer of convenience food in the UK and our purpose is to make everyday taste better!
We're a vibrant, fast-paced leading food manufacturer. Employing 13,300 colleagues across 16 manufacturing units and 17 distribution depots across the UK. We supply all the UK's food retailers with everything from Sandwiches, soups and sushi to cooking sauces, pickles and ready meals, and in FY24, we generated revenues of £1.8bn.
Our vast direct-to-store (DTS) distribution network, comprising of 17 depots nationwide, enables us to make over 10,500 daily deliveries of our own chilled and frozen produce and that of third parties.

Why is this exciting for your career as a Senior Data Engineer?
The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an enterprise wide digital transformation programme. The complexity of the initiative, within a FTSE 250 business, will allow for large-scale problem solving, group wide impact assessment and supporting the delivery of an enablement project to future proof the business.

Why we embarked on Making Business Easier?
Over time processes have become increasingly complex, increasing both the risk and cost they pose, whilst restricting our agility. At the same time, our customers and the market expect more from us than ever before. Making Business Easier forms a fundamental foundation for our commercial and operational excellence agendas, whilst supporting managing our cost base effectively in the future.
The MBE Programme will streamline and simplify core processes, provide easier access to quality business data and will invest in the right technology to enable these processes.

What you'll be doing:
As a Senior Data Engineer, you will play a key role in shaping and delivering enterprise-wide data solutions that translate complex business requirements into scalable, high-performance data platforms. In this role, you will help define and guide the structure of data systems, focusing on seamless integration, accessibility, and governance, while optimising data flows to support both analytics and operational needs. Collaborating closely with business stakeholders, data engineers, and analysts, you will ensure that data platforms are robust, efficient, and adaptable to evolving business priorities. You will also support the usage, alignment, and consistency of data models; therefore, will have a wide-ranging role across many business projects and deliverables

Shape and implement data solutions that align with business objectives and leverage both cloud and on-premise technologies
Translate complex business needs into scalable, high-performing data solutions
Support the development and application of best practices in data governance, security, and system design
Collaborate closely with business stakeholders, product teams, and engineers to design and deliver effective, integrated data solutions
Optimise data flows and pipelines to enable a wide range of analytical and operational use cases
Promote data consistency across transactional and analytical systems through well-designed integration approaches
Contribute to the design and ongoing improvement of data platforms - including data lakes, data warehouses, and other distributed storage environments - focused on efficiency, scalability, and ease of maintenance
Mentor and support junior engineers and analysts in applying best practices in data engineering and solution designWhat you'll need:

5+ years of Data Engineering experience, with expertise in Azure data services and/or Microsoft Fabric
Strong expertise in designing scalable data platforms and managing cloud-based data ecosystems
Proven track record in data integration, ETL processes, and optimising large-scale data systems
Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions
Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks)
Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation
Competent in integrating relational, NoSQL, and streaming data sources
Management of CI/CD pipelines & Git-based workflows
Good knowledge of data governance, privacy regulations, and security best practices
Experience with modern data architectures, including data lakes, data mesh, and event-driven data processing
Strong problem-solving and analytical skills to translate complex business needs into scalable data solutions
Excellent communication and stakeholder management to align business and technical goals
High attention to detail and commitment to data quality, security, and governance
Ability to mentor and guide teams, fostering a culture of best practices in data architecture
Power BI and DAX for data visualisation (desirable)
Knowledge of Azure Machine Learning and AI services (desirable)
Experience with streaming platforms like Event Hub or Kafka Familiarity with cloud cost optimisation techniques (desirable)What you'll get:

Competitive salary and job-related benefits
25 days holiday allowance plus bank holidays
Car Allowance
Annual Target Bonus
Pension up to 8% matched
PMI Cover: Individual
Life insurance up to 4x salary
Company share save scheme
Greencore Qualifications
Exclusive Greencore employee discount platform
Access to a full Wellbeing Centre platform