Data Engineering Leader: Architect & Mentor in Modern Stack

VML group; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

VML group in Greater London is seeking a Data Engineering Manager to lead their Data Engineering practice. The ideal candidate will provide technical leadership while mentoring a team of engineers and influencing project direction through strategic guidance.

Responsibilities include shaping data solutions, advising clients, and establishing standards for modern data stacks. Strong expertise in tools like dbt, Airflow, and cloud platforms is essential for this crucial leadership role.

Qualifications

• Extensive years of hands-on data engineering experience building production data pipelines.
• Management experience of data teams.
• Deep expertise in modern data stack and cloud platforms.
• Strong architectural skills with data modeling and governance understanding.
• Proficiency in SQL, Python, and modern engineering workflows.
• Proven experience mentoring engineers and building trust with colleagues.
• Commercial awareness with ability to connect technical solutions to business value.
• Practice-building mindset and enthusiasm for developing new service offerings.

Responsibilities

• Lead technical efforts in data engineering practice.
• Collaborate with architects to define standards for data pipelines.
• Ensure correct adoption of modern data stacks.
• Act as trusted technical advisor for clients.
• Develop engineers through mentorship and guidance.
• Shape practice direction, standards, and growth.

Skills

Data engineering experience

Management experience

DBT and Airflow

SQL proficiency

Python proficiency

Commercial awareness

Excellent communication skills

Tools

GCP BigQuery

Snowflake

Terraform

Job description

VML group in Greater London is seeking a Data Engineering Manager to lead their Data Engineering practice. The ideal candidate will provide technical leadership while mentoring a team of engineers and influencing project direction through strategic guidance.

Responsibilities include shaping data solutions, advising clients, and establishing standards for modern data stacks. Strong expertise in tools like dbt, Airflow, and cloud platforms is essential for this crucial leadership role.