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- Tasks: Lead teams to build a scalable data platform for a top UK ecommerce company.
- Company: Join a mission-driven company focused on empowering individuals through equitable career opportunities.
- Benefits: Competitive salary, flexible work options, and a commitment to inclusivity.
- Why this job: Be part of a high-impact team shaping real-time decision-making for millions of users.
- Qualifications: Strong leadership in data teams, experience with modern data infrastructure, and programming skills.
- Other info: Inclusive hiring practices; accessibility adjustments available during the application process.
The predicted salary is between 90000 - 210000 £ per year.
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)
Salary: £150k+ pro rata
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.
Senior Engineering Manager - Data employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Manager - Data
✨Tip Number 1
Familiarise yourself with the latest trends in data infrastructure and management. Being well-versed in tools like Apache Spark, Kafka, and Databricks will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering space, especially those who have experience in e-commerce. Engaging with industry peers can provide insights into the specific challenges and innovations within the sector, which you can discuss during interviews.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed teams or projects. Highlighting your ability to mentor and grow a high-performing team will resonate well with the hiring managers.
✨Tip Number 4
Understand the company's mission and values, particularly their focus on inclusivity and diversity. Be ready to discuss how you can contribute to these goals, as cultural fit is often just as important as technical skills in the hiring process.
We think you need these skills to ace Senior Engineering Manager - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data or platform teams, especially in production environments. Emphasise your hands-on knowledge of tools like Apache Spark and Kafka, as well as your programming proficiency in Python, Scala, or Java.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your strategic mindset aligns with the company's mission. Mention specific examples of how you've successfully managed data infrastructure projects and collaborated with cross-functional teams.
Showcase Leadership Skills: Highlight your experience in mentoring and managing teams. Provide examples of how you've contributed to building high-performing data organisations and promoted engineering best practices within your previous roles.
Demonstrate Communication Skills: Since excellent stakeholder management is crucial for this role, include instances where you've effectively communicated complex technical concepts to non-technical stakeholders. This will showcase your ability to align platform capabilities with business needs.
How to prepare for a job interview at Signify Technology
✨Showcase Your Leadership Experience
As a Senior Engineering Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare specific examples of how you've successfully managed data infrastructure squads in the past, focusing on your approach to fostering collaboration and driving results.
✨Highlight Technical Proficiency
Make sure to discuss your hands-on experience with tools like Apache Spark, Kafka, and Databricks. Be ready to explain how you've applied these technologies in real-world scenarios, particularly in building scalable data systems that support real-time decision-making.
✨Emphasise Stakeholder Management Skills
Excellent communication is key for this role. Prepare to share examples of how you've effectively collaborated with cross-functional teams, such as Product, Engineering, and Data Science, to align technical capabilities with business needs.
✨Demonstrate a Strategic Mindset
The interviewers will be looking for your ability to think strategically about data infrastructure. Be prepared to discuss how you prioritise tasks and define roadmaps that balance immediate business needs with long-term sustainability and privacy considerations.
