Data Engineer

dcoded. | B Corp ™; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid working with flexible remote

9am–6pm working hours

Job summary

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.

Responsibilities

• 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

Skills

SQL

Python

Git

Databricks

Snowflake

Azure Data Factory

AWS Glue

Apache Airflow

PySpark

Terraform

Tools

Databricks

Snowflake

Azure Data Factory

AWS Glue

Apache Airflow

PySpark

Terraform

Job description

Senior Data Engineer | London, hybrid (2 to 3 days in the office) | £60,000 to £75,000

About the company

A global data and AI consultancy helping leading organisations turn data into real business results. You’ll join a growing London team of data engineers, data scientists and consultants, working on varied, client-facing projects.

The role

• 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

What you’ll need

• 3 to 7 years in data engineering, with real ownership of production pipelines
• Strong SQL and Python, plus hands-on Git
• Production experience with at least one of 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

Nice to have

• Azure, AWS or GCP certifications
• Databricks, Snowflake or similar certifications

What’s on offer

• Hybrid working with a flexible approach to remote days
• Managed working hours, 9am to 6pm
• Varied, client-facing projects across a range of industries

Please note:

applicants must already have the right to work in the UK.