Engineering Manager - Data

Signify Technology; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading technology company is seeking a Senior Engineering Manager to lead teams building foundational data platforms for a major ecommerce client. This role involves managing data pipelines, collaborating with various teams, and ensuring scalability and governance in data management. Ideal candidates will have extensive experience in data infrastructure and cloud environments, coupled with strong programming skills in languages such as Python, Scala, or Java.

Qualifications

• Strong experience leading data or platform teams in a production environment.
• Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines.
• Excellent stakeholder management and communication skills.

Responsibilities

• Manage and mentor two data infrastructure squads, covering batch and real-time pipelines.
• Define and own the roadmap for scalable and resilient data systems.
• Promote engineering best practices and long-term system sustainability.

Skills

Data infrastructure management

Stakeholder management

Programming proficiency in Python

Programming proficiency in Scala

Programming proficiency in Java

Cloud-native environment experience (AWS, GCP, Azure)

Data observability and governance

Collaboration with Product and Engineering teams

Tools

Apache Spark

Kafka

Databricks

DBT

Job description

This range is provided by Signify Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Signify Technology

Senior Engineering Manager - Data (six month FTC)

Lead the data platform behind a high-scale, mission-driven consumer product.

We’re looking for a Senior Engineering Manager to lead the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning, experimentation, and analytics - supporting millions of users.

Location: London surrounds (once a week in office ideally)

What you’ll do

• Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance
• Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with business needs
• Define and own the roadmap for scalable, privacy-aware, and resilient data systems
• Promote engineering best practices and long-term system sustainability
• Embed data quality, observability and governance principles across teams
• Contribute to hiring, coaching, and growing a high-performing data organisation

What you’ll bring

• Strong experience leading data or platform teams in a production environment
• Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines
• Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar
• Familiarity with data warehousing, ETL/ELT processes, and analytics engineering
• Programming proficiency in Python, Scala or Java
• Experience operating in a cloud-native environment (e.g. AWS, GCP, or Azure)
• Excellent stakeholder management and communication skills
• A strategic mindset, with a practical approach to delivery and prioritisation

We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media and Data Infrastructure and Analytics

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