Tenth Revolution Group
Data Engineer
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Data Engineer - London (Hybrid) - SQL, Python, Spark - Azure, AWS or GCP - Up to £75,000 + Bonus
Are you a Data Engineer who enjoys solving complex data challenges and building scalable, high-quality data solutions?
We're partnering with an organisation that's making significant investments in its data and digital transformation capabilities. This is an opportunity to join a business where data drives strategic decision-making and where you'll play a key role in shaping how data is managed, governed and utilised across the organisation.
You'll work on large-scale data initiatives with genuine business impact, alongside a collaborative team that values innovation, continuous improvement and professional development.
You Will Work With:
- Designing, developing and deploying enterprise-wide data solutions
- Building and optimising ETL/ELT pipelines and automated workflows
- Delivering Data Quality programmes, including profiling, cleansing, validation and monitoring
- Leading Data Migration projects across multiple source and target systems
- Defining migration strategies, data mapping, transformation and reconciliation processes
- Implementing and maintaining Master Data Management (MDM) solutions
- Developing metadata capabilities including data catalogues, data lineage and business glossaries
- Supporting Data Governance initiatives, security and compliance requirements
- Working with SQL, Python, Spark, Hadoop and modern data platforms
- Collaborating with business and technical stakeholders in Agile environments
- Supporting data architecture and data modelling initiatives
- Working with cloud-based data services across Azure, AWS or GCP
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What's On Offer?
- Up to £75,000 salary
- Annual bonus
- Pension contribution
- Learning & Development budget
- Professional certifications
- Clear progression opportunities
- Exposure to modern cloud and data technologies
- Hybrid working model
- High-profile data transformation programmes
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Key Experience
- Proven experience delivering data engineering and data management solutions
- Strong Data Quality and Data Governance experience
- End-to-end Data Migration delivery experience
- Metadata Management experience (cataloguing, lineage and business glossaries)
- Experience implementing Master Data Management (MDM) solutions
- Strong SQL and Python skills
- ETL/ELT, data warehousing and automated data pipelines experience
- Knowledge of Spark, Hadoop or similar big data technologies
- Understanding of dimensional and relational data modelling
- Experience working in Agile environments
- Exposure to Azure, AWS or GCP data services
- Excellent analytical and problem-solving skills
Apply now or send your CV directly for immediate consideration. Interviews are already being scheduled, so don't miss out.
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