Lead Data Engineer: Azure Spark Architect & Mentor

Lead Data Engineer: Azure Spark Architect & Mentor

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Emergn

At a Glance

  • Tasks: Lead the design of scalable data pipelines and architect modern data platforms.
  • Company: Emergn, a tech consultancy focused on sustainable competitive advantage.
  • Benefits: Flexible work model, health insurance, 20 vacation days, and training opportunities.
  • Other info: Join a global community of experts in a dynamic, supportive environment.
  • Why this job: Make a real impact by solving problems for top businesses and driving change.
  • Qualifications: Experience with Python, Apache Spark, and Azure; strong leadership skills.

The predicted salary is between 70000 - 90000 £ per year.

Emergn is a technology and management consultancy with a mission to set our clients free. No dependency. No short-term fix. Just teaching them the real cure to their problems, so they can stay ahead of their competitors now and forever. A different kind of consultancy like this needs a different kind of team. One you might be just the right fit for. This is a place for people who want to:

  • Make a real difference. Here, you solve problems for real. No endless engagements or running up the clock. You get to see how change really works for some of the world’s greatest businesses.
  • Never stop growing. We turn our expertise back on ourselves. Here, you’re always learning, stretching your thinking at the cutting edge of how organisations grow, which means staying at the cutting edge of your own growth too.
  • Belong everywhere. We’re a global community of experts who work without borders. Friendly, supportive, and genuinely collaborative. Because when you’re trying to change an industry, you need people who have each other’s backs.

As a Lead Data Engineer at Emergn you will help us shape Emergn exciting future and play an important role in our growth. Join our team and let’s change the game together!

Key Responsibilities

  • Lead the design and development of scalable data pipelines using Python and Apache Spark.
  • Architect and deliver modern data platforms on Microsoft Azure and Microsoft Fabric.
  • Own end-to-end data engineering delivery, ensuring quality, performance, and reliability.
  • Provide technical leadership, mentoring teams and driving engineering best practices.
  • Collaborate with stakeholders to translate business needs into effective data solutions.
  • Ensure data governance, security, and compliance across all platforms.
  • Proactively identify improvements, risks, and opportunities, driving continuous optimisation.

Skills, Knowledge and Expertise

  • Extensive hands‑on experience with Python and Apache Spark in data engineering environments.
  • Strong experience building solutions on Azure (e.g., Data Factory, Synapse, Data Lake).
  • Practical experience with Microsoft Fabric and modern cloud data architectures.
  • Proven leadership skills with experience guiding and developing engineering teams.
  • Highly adaptable, thriving in fast‑paced, evolving environments.
  • Strong proactivity and ownership mindset, driving initiatives independently.
  • Excellent stakeholder management and communication skills.
  • Work within a dynamic international team of experts.

Excellent opportunity for personal and professional development. Flexible work model and the freedom to choose the tools that suit you best – Mac or Windows. Ability to work with modern technologies. Extensive catalogue of educational programs, the possibility of training and certification at the expense of the company. 20 working days of vacation per year. Life and disability insurance. Health insurance. Big free parking. Birthday gift.

About Emergn

We’re Emergn. A technology and management consultancy that believes sustainable competitive advantage doesn’t come from the latest tech or hottest trend – it comes from the way you work. That’s why our goal is to embed a complete work operating system within our customers’ businesses, so they stop reacting to change and start creating it. We do this across three areas: shaping processes to be faster, clearer, and more innovative; developing people so inspiration comes from within the organization; and designing technology solutions that bring it all together. The result? Companies don’t just get ahead for a moment. They stay ahead for an era. And make it theirs.

Lead Data Engineer: Azure Spark Architect & Mentor employer: Emergn

Emergn is an exceptional employer that fosters a culture of continuous learning and collaboration, making it an ideal place for a Lead Data Engineer to thrive. With a flexible work model, extensive educational programmes, and a supportive global community, employees are empowered to make a real difference while enjoying generous benefits such as health insurance and 20 vacation days. Join us in shaping the future of consultancy and technology, where your growth is as important as our clients' success.

Emergn

Contact Details:

Emergn Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer: Azure Spark Architect & Mentor

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Emergn. A friendly chat can open doors that applications alone can't. Use LinkedIn to connect and engage with their posts.

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your experience with Python, Apache Spark, and Azure. When you get the chance to chat with someone from Emergn, share your work and how it aligns with their mission.

Tip Number 3

Be proactive! If you see a job opening at Emergn, don’t just apply – follow up! A quick message expressing your enthusiasm can make you stand out. We love seeing candidates who take initiative.

Tip Number 4

Prepare for the interview by understanding Emergn's values and how they align with your own. Think about how you can contribute to their mission of making a real difference and be ready to discuss it!

We think you need these skills to ace Lead Data Engineer: Azure Spark Architect & Mentor

Python
Apache Spark
Microsoft Azure
Data Factory
Synapse
Data Lake
Microsoft Fabric

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your hands-on experience with Python, Apache Spark, and Azure to show us you’re the right fit!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you want to join Emergn and how you can contribute to our mission. Share specific examples of how you've led teams or delivered data solutions in the past.

Showcase Your Leadership Skills:Since this role involves mentoring and leading teams, don’t forget to highlight your leadership experiences. We want to see how you’ve guided others and driven engineering best practices.

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 this exciting opportunity at Emergn!

How to prepare for a job interview at Emergn

Know Your Tech Inside Out

Make sure you’re well-versed in Python, Apache Spark, and Azure. Brush up on your knowledge of data pipelines and modern data architectures. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.

Showcase Your Leadership Skills

As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and guide teams. Prepare examples of how you've led projects or helped colleagues grow. This will highlight your leadership style and how you can contribute to Emergn's collaborative culture.

Understand the Business Impact

Emergn is all about solving real problems for clients. Think about how your technical skills translate into business solutions. Be prepared to discuss how you've collaborated with stakeholders to meet their needs and drive results in previous roles.

Embrace Continuous Learning

Emergn values growth and learning, so be ready to talk about how you stay updated with industry trends and technologies. Mention any relevant courses or certifications you've pursued, and express your enthusiasm for ongoing professional development.