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  "employer_name": "Burns Sheehan",
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  "job_description": "Data Engineer\n• £65,000-£75,000\n• Up to a 10% bonus\n• 3 days a week on site - Croxley park\n\nAs a Data Engineer, you’ll design, build, and maintain robust data pipelines that support analytics, reporting, and advanced data use cases across the organisation. You’ll work closely with the Head of Data & Intelligence, Senior Data Analyst, engineering teams, and business stakeholders to ensure data is accurate, timely, and accessible.\n\nThe role involves working with both high-volume, near real-time data (e.g. device telemetry and operational events) as well as more traditional business data (e.g. sales and activations).\n\nKey Responsibilities\n• Design, build, and maintain scalable batch and near real-time data pipelines\n• Ingest data from devices, databases, APIs, and third-party platforms\n• Implement ETL/ELT processes to produce analytics- and reporting-ready datasets\n• Support near real-time operational and product performance observability\n• Contribute to the implementation of a modern, cloud-based data platform\n• Implement data validation, reconciliation, and monitoring processes\n• Ensure high standards of data quality and governance\n• Partner with analytics, product, engineering, and business teams\n• Enable self-service data access via approved tools and patterns\n• Produce and maintain clear technical documentation\n\n✅ What Success Looks Like\n• Reliable, scalable data pipelines supporting analytics and reporting\n• High-quality, trusted data accessible across the organisation\n• Stakeholders empowered to make informed, data-driven decisions\n• A collaborative and data-focused culture embedded across teams\n\nEssential experience\n• Proven experience as a Data Engineer or in a similar role\n• Strong skills in SQL, Python, PySpark\n• Experience with orchestration and transformation tools (e.g. Airflow, dbt)\n• Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks, ADF, MS Fabric)\n• Solid understanding of data modelling, ETL/ELT, and data warehousing\n• Familiarity with DevOps practices and version control (e.g. GitHub)\n• Strong communication and stakeholder engagement skills\n\nNice to Have\n• Experience with high-volume or near real-time data\n• Exposure to BI tools such as Power BI, Tableau, or Looker\n\nBenefits\n• Competitive salary with annual bonus scheme\n• Annual salary review\n• Statutory pension contribution\n• Life assurance – 4x basic salary\n• Private medical insurance\n• Group Income Protection\n• 24/7 Cash Plan\n\nLifestyle & Wellbeing\n• 25 days holiday, increasing by 1 day for every 5 years’ service (up to 30 days)\n• Volunteer leave\n• Employee Assistance Programme (EAP) – 24/7 support\n• Flu jabs contribution\n• Eye care contribution\n• Gym membership contribution\n• Lifetime financial wellbeing subscription\n\nPerks & Everyday Extras\n• Green electric salary sacrifice car scheme\n• Ride-to-work scheme\n• PerkHub employee discount platform\n• Free fruit and breakfast foods\n• Refer a Friend bonus\n• Long service awards",
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  "employer_website": "https://www.burnssheehan.co.uk",
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  "job_posted_at_datetime_utc": "2026-03-10T00:00:00.000Z"
}