Join a well-established organisation undertaking a significant transformation of its enterprise data and analytics capabilities. With a strong focus on modernising legacy platforms and building scalable cloud-based solutions, the organisation is investing heavily in its data strategy to enable better decision-making, governance, reporting, and operational outcomes. You'll join a collaborative technology team working across data engineering, architecture, governance, analytics, and business stakeholders to deliver high-impact projects and enterprise-wide data initiatives.
Your new role
As a Data Engineer, you will play a key role in designing, developing, and supporting enterprise data solutions across both existing and cloud-based platforms. You will be responsible for building and maintaining data pipelines, ETL/ELT processes, data models, and integration frameworks while supporting large-scale data migration and modernisation initiatives.
Key responsibilities include:
- Designing, developing, testing, and supporting enterprise data warehouse and cloud-based data solutions.
- Building and maintaining data ingestion, transformation, orchestration, monitoring, and reconciliation processes.
- Supporting data migration projects, including source-to-target mapping, testing, validation, cutover activities, and post-implementation support.
- Developing and optimising relational and dimensional data models, stored procedures, views, and curated datasets.
- Applying DataOps practices including source control, code reviews, testing, deployment governance, and release management.
- Ensuring strong data governance through metadata management, data lineage, quality controls, and audit readiness.
- Providing production support, troubleshooting, performance tuning, and ongoing platform enhancements.
- Working closely with business, technology, architecture, governance, and reporting teams to deliver trusted data outcomes.
To be successful in this role, you will have:
- 5+ years of experience in Data Engineering, Data Warehousing, Business Intelligence, or Analytics environments.
- Strong SQL development skills, including stored procedures, functions, views, optimisation, and performance tuning.
- Proven experience designing and supporting ETL/ELT pipelines and enterprise-scale data integration solutions.
- Experience with cloud data platforms and modern data engineering practices.
- Strong understanding of data modelling, data quality frameworks, reconciliation processes, and governance principles.
- Experience working within Agile delivery environments and collaborating with both technical and business stakeholders.
- Excellent analytical, problem-solving, and communication skills.
- Enterprise data warehouse migration projects.
- Financial services or other highly regulated industry experience.
- Azure Data Platform technologies, Microsoft Fabric, Databricks, or similar cloud-based analytics platforms.
- Python, PySpark, CI/CD, DataOps, metadata management, and data lineage solutions.
- Opportunity to work on a major enterprise data transformation and cloud modernisation program.
- Exposure to modern data engineering technologies and best-practice delivery frameworks.
- Collaborative and supportive team environment with strong stakeholder engagement.
- Ongoing professional development and opportunities to expand your cloud and data engineering expertise.
- The chance to influence data strategy, governance, and engineering standards across a large organisation.
- Competitive salary package and long-term career growth opportunities within a technology-driven environment.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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About us
At Hays, we invest in lifelong partnerships that empower people and businesses to succeed. You are at the heart of everything we do. With over 50 years’ experience and a workforce of more than 10,000 people across 32 countries, we collectively put our customers, at the heart of everything we do.
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