Technical Delivery Lead (Python, Databricks) - CER Financial
Why This Role Stands Out
This hybrid Technical Delivery Lead role offers an exciting opportunity to make a significant impact by leading data engineering projects for an international bank, combining hands-on Python and Databricks development with leadership responsibilities. You will thrive here if you are a seasoned professional with extensive experience in data engineering and a passion for mentoring others, all while enjoying a competitive daily rate.
Quick Overview
Job Description
Technical Delivery Lead (Python, Databricks)
London
Hybrid (3/2 split)
6-month contract
£515 - £894 per day (via Umbrella)
cer Financial are working alongside an international bank who are looking for a Technical Delivery Lead to join their team on an initial 6-month contract . This is a hybrid role , requiring 3 days per week in the London office.
This is a hands-on leadership position, combining technical delivery with active development (approximately 30–50% coding ) using Python, Databricks and PySpark .
Responsibilities:
- Lead the end-to-end delivery of data engineering projects.
- Design, develop and optimise data pipelines using Python, Databricks and PySpark.
- Build scalable ETL/ELT solutions and Lakehouse architectures.
- Manage Agile delivery, sprint planning and stakeholder communication.
- Mentor engineers and promote engineering best practices.
- Ensure data quality, governance, monitoring and CI/CD standards.
The candidate will need:
- 10+ years' experience in Data Engineering or Software Engineering.
- Previous experience in a Technical Lead or Delivery Lead role with hands-on coding.
- Strong expertise in Python, Databricks, Spark/PySpark and SQL.
- Experience building large-scale ETL pipelines and cloud-based data platforms (AWS, Azure or GCP).
- Strong understanding of Lakehouse architecture and distributed data systems.
- Experience with Agile delivery and stakeholder management.
- Databricks certifications and experience with Kafka, Airflow, Docker, Kubernetes or CI/CD are advantageous.
Skills
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