Data Engineer

Base pay range

Direct message the job poster from Burns Sheehan

As 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.

The 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).

• Design, build, and maintain scalable batch and near real‑time data pipelines
• Ingest data from devices, databases, APIs, and third‑party platforms
• Implement ETL/ELT processes to produce analytics- and reporting‑ready datasets
• Support near real‑time operational and product performance observability
• Contribute to the implementation of a modern, cloud‑based data platform
• Implement data validation, reconciliation, and monitoring processes
• Ensure high standards of data quality and governance
• Partner with analytics, product, engineering, and business teams
• Enable self‑service data access via approved tools and patterns
• Produce and maintain clear technical documentation

• Reliable, scalable data pipelines supporting analytics and reporting
• High‑quality, trusted data accessible across the organisation
• Stakeholders empowered to make informed, data‑driven decisions
• A collaborative and data‑focused culture embedded across teams
• Proven experience as a Data Engineer or in a similar role
• Strong skills in SQL, Python, Py Spark
• Experience with orchestration and transformation tools (e.g. Airflow, dbt)
• Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks, ADF, MS Fabric)
• Solid understanding of data modelling, ETL/ELT, and data warehousing
• Familiarity with Dev Ops practices and version control (e.g. Git Hub)
• Strong communication and stakeholder engagement skills

• Experience with high‑volume or near real‑time data
• Exposure to BI tools such as Power BI, Tableau, or Looker
• Competitive salary with annual bonus scheme
• Annual salary review
• Statutory pension contribution
• Life assurance – 4x basic salary
• Private medical insurance
• Group Income Protection
• 24/7 Cash Plan
• 25 days holiday, increasing by 1 day for every 5 years’ service (up to 30 days)
• Volunteer leave
• Employee Assistance Programme (EAP) – 24/7 support
• Flu jabs contribution
• Eye care contribution
• Lifetime financial wellbeing subscription

• Green electric salary sacrifice car scheme
• Perk Hub employee discount platform
• Free fruit and breakfast foods
• Refer a Friend bonus
• Long service awards

Mid‑Senior level

Full‑time

Information Technology

Technology, Information and Media, Data Infrastructure and Analytics, and IT System Data Services