Senior Data Engineer | Hybrid London | Lead Pipelines

dcoded. | B Corp ™; Greater London; Hybride; GBP 60 000 - 75 000; Plein temps

Avantages offerts par ce poste

Hybrid working with flexible remote

9am–6pm working hours

Résumé du poste

dcoded. | B Corp ™ is seeking a Senior Data Engineer in London to design, build and maintain scalable data pipelines using SQL and Python within a hybrid model (2–3 days in the office). You will work on client projects, collaborating with data scientists, consultants and engineers to deliver robust data solutions.

You will lead data integration across platforms, mentor engineers, and shape governance and security practices, with opportunities to influence architecture and data mesh concepts.

Qualifications

• 3 to 7 years in data engineering, with real ownership of production pipelines.
• Strong SQL and Python, plus hands-on Git.
• Production experience with Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark.
• Cloud-native orchestration and distributed data processing.
• Infrastructure as code (e.g. Terraform).
• CI/CD and DevOps or DevSecOps practice.
• A sound grasp of data architecture: data mesh, lake, warehouse and lakehouse.
• Clear communication, with the ability to explain technical decisions to non-technical stakeholders.

Responsabilités

• Design, build and maintain scalable data pipelines using SQL and Python
• Lead the integration of complex data systems, keeping data consistent and accurate across platforms
• Work with architects, analysts and stakeholders to turn business requirements into technical delivery
• Mentor and manage a team of data engineers
• Set and enforce best practice on data governance, security and compliance

Connaissances

SQL

Python

Git

Databricks

Snowflake

Azure Data Factory

AWS Glue

Apache Airflow

PySpark

Terraform

Outils

Databricks

Snowflake

Azure Data Factory

AWS Glue

Apache Airflow

PySpark

Terraform

Description du poste

dcoded. | B Corp ™ is seeking a Senior Data Engineer in London to design, build and maintain scalable data pipelines using SQL and Python within a hybrid model (2–3 days in the office). You will work on client projects, collaborating with data scientists, consultants and engineers to deliver robust data solutions.

You will lead data integration across platforms, mentor engineers, and shape governance and security practices, with opportunities to influence architecture and data mesh concepts.