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