Technical Delivery Lead Python, Databricks - CER Financial
other jobs eFinancialCareers
Added before 8 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
Full 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.
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.
Job number 3998409
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