About
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
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.