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).
Key Responsibilities
* 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
What Success Looks Like
* 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, PySpark
* 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 DevOps practices and version control (e.g. GitHub)
* Strong communication and stakeholder engagement skills
Nice to Have
* 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
Perks & Everyday Extras
* Green electric salary sacrifice car scheme
* PerkHub employee discount platform
* Free fruit and breakfast foods
* Refer a Friend bonus
* Long service awards
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Technology, Information and Media, Data Infrastructure and Analytics, and IT System Data Services
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