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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 diverse talent in tech.
- Benefits: Competitive salary, flexible work options, and a commitment to inclusivity.
- Why this job: Shape the future of data infrastructure while supporting millions of users.
- Qualifications: Experience in leading data teams and knowledge of modern data tools required.
- Other info: Opportunity to make a real impact in a collaborative and innovative environment.
The predicted salary is between 72000 - 108000 £ 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.
Data Engineering Lead employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Apache Spark and Kafka. Having hands-on experience or even personal projects using these technologies can set you apart during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed data teams in the past. Be ready to discuss your approach to mentoring and developing talent within your team.
✨Tip Number 3
Understand the company's mission and values, especially their commitment to inclusivity. Be prepared to discuss how you can contribute to a diverse and equitable workplace during your interview.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Gaining insights into the company culture and expectations can help you tailor your approach and demonstrate your genuine interest.
We think you need these skills to ace Data Engineering Lead
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, Kafka, and your programming proficiency in Python, Scala, or Java.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your strategic mindset aligns with the company's mission. Mention specific examples of how you've successfully managed data infrastructure projects in the past.
Showcase Collaboration Skills: Highlight your experience collaborating with cross-functional teams such as Product, Engineering, and Data Science. Provide examples of how you’ve aligned platform capabilities with business needs to demonstrate your stakeholder management skills.
Demonstrate Commitment to Inclusivity: Since the company values inclusivity, mention any initiatives or experiences that showcase your commitment to building diverse teams and promoting an equitable work environment.
How to prepare for a job interview at Signify Technology
✨Showcase Your Leadership Experience
As a Data Engineering Lead, you'll be managing teams. Be prepared to discuss your previous leadership roles, how you mentored team members, and the impact of your guidance on project outcomes.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as Apache Spark and Kafka. Be ready to discuss specific projects where you've used these technologies and the challenges you overcame.
✨Align with Business Needs
Understand the company's mission and how the data platform supports it. Prepare examples of how you've previously aligned technical capabilities with business objectives, showcasing your strategic mindset.
✨Prepare for Stakeholder Management Questions
Excellent communication skills are crucial. Think of instances where you've successfully managed stakeholders, resolved conflicts, or facilitated collaboration between different teams, and be ready to share those stories.
