Analytics Engineering Lead — Data Pipelines & Governance
Analytics Engineering Lead — Data Pipelines & Governance

Analytics Engineering Lead — Data Pipelines & Governance

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to transform complex data into reliable analytics for business decisions.
  • Company: Prominent AdTech firm in Greater London with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Make a real impact by shaping the future of analytics in a dynamic industry.
  • Qualifications: Extensive experience in data engineering, strong SQL and Python skills required.
  • Other info: Join a collaborative environment with excellent career advancement opportunities.

The predicted salary is between 48000 - 72000 £ per year.

A prominent AdTech firm in Greater London is seeking an experienced Analytics Engineering Manager to lead its growing analytics engineering function. This role focuses on transforming complex data into reliable and scalable analytics to support business decisions.

You will manage a team, oversee the analytics engineering roadmap, and ensure data quality and governance across platforms.

Ideal candidates have extensive experience in data engineering, strong SQL and Python skills, and the ability to communicate effectively with both technical teams and senior stakeholders.

Analytics Engineering Lead — Data Pipelines & Governance employer: Harnham

Join a leading AdTech firm in Greater London, where innovation meets collaboration. We pride ourselves on fostering a dynamic work culture that encourages professional growth and offers competitive benefits, including flexible working arrangements and continuous learning opportunities. As an Analytics Engineering Lead, you will play a pivotal role in shaping our data strategy while being supported by a talented team in a vibrant city known for its tech advancements.
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Contact Detail:

Harnham Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineering Lead — Data Pipelines & Governance

Tip Number 1

Network like a pro! Reach out to folks in the AdTech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! If you’ve got a portfolio of projects or case studies, bring them along to interviews. It’s a great way to demonstrate your SQL and Python prowess.

Tip Number 3

Prepare for those tricky questions! Brush up on data governance and analytics engineering concepts so you can impress the interviewers with your knowledge and confidence.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge.

We think you need these skills to ace Analytics Engineering Lead — Data Pipelines & Governance

Data Engineering
SQL
Python
Data Quality Management
Data Governance
Team Management
Analytics Transformation
Communication Skills
Stakeholder Engagement
Roadmap Oversight
Scalable Analytics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering and analytics. We want to see your strong SQL and Python skills shine through, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Analytics Engineering Lead role. Share specific examples of how you've transformed complex data into actionable insights and how you’ve led teams in the past.

Showcase Your Communication Skills: Since this role involves liaising with both technical teams and senior stakeholders, we’d love to see how you communicate complex ideas clearly. Include examples of how you’ve successfully navigated these conversations in your application.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Harnham

Know Your Data Inside Out

Make sure you’re well-versed in data engineering concepts, especially around SQL and Python. Brush up on your knowledge of data pipelines and governance, as you’ll likely be asked to discuss how you’ve implemented these in past roles.

Showcase Your Leadership Skills

As a potential Analytics Engineering Lead, it’s crucial to demonstrate your ability to manage a team effectively. Prepare examples of how you’ve led projects or teams, focusing on your communication skills with both technical staff and senior stakeholders.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Think of scenarios where you had to ensure data quality or navigate governance challenges. Be ready to explain your thought process and the outcomes of your decisions.

Research the Company and Its Culture

Familiarise yourself with the AdTech industry and the specific firm’s values and goals. This will help you tailor your responses and show that you’re genuinely interested in contributing to their success.

Analytics Engineering Lead — Data Pipelines & Governance
Harnham

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