Data Engineer

  • London
  • Permanent
  • £35,000 - £55,000
  • Hybrid
Data Engineer
London (N1) 3-4 days in office
£35-55K
We’re looking for a skilled Data Engineer to join a growing content & social media business.
You’ll own data engineering, so will need to be confident as the stand alone person. With ownership and freedom in the role you’ll be working end-to-end on modelling, building & maintaining pipelines, warehousing and reporting & insights. Long term you’ll be the leader of a department and grow with the business.
Key Responsibilities

  • Develop, optimize, and maintain robust ETL/ELT data pipelines in BigQuery, SQL and Python.
  • Integrate data from APIs across Meta (Facebook & Instagram), TikTok, YouTube, Twitter/X, etc…
  • Create and maintain models in dataform/DBT

  
Required Skills & Experience

  • Strong proficiency in Python for data processing and pipeline development.
  • Solid experience with SQL, including writing efficient and scalable queries.
  • Hands-on experience with Google BigQuery , including architecture, performance tuning, and cost optimization.
  • Familiarity with cloud-based data tools and modern data ecosystems.
  • Understanding of data modeling, warehousing concepts, and best practices

  
Nice-to-Have

  • Experience with Airflow, dbt, or similar orchestration/modeling tools.
  • Experience with BI tools
  • Knowledge of GCP services (Cloud Storage, Dataflow, Pub/Sub, etc.).
  • Social media & content experience

  
Starting salary between £35-55K + bonus (regularly reviewed), training budget
Flexible working arrangements, ideally 4 days a week in office

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