Lead Data Engineer: Databricks Lakehouse Architect (London)

Lead Data Engineer: Databricks Lakehouse Architect (London)

London Temporary 63000 - 77000 £ / year (est.) No working from home possible
Forsyth Barnes

At a Glance

  • Tasks: Design and deliver scalable data solutions for financial institutions using Databricks and AWS.
  • Company: Forsyth Barnes, a leader in innovative data engineering.
  • Benefits: Minimum 6-month contract with part-time onsite work.
  • Other info: Opportunity to excel as a hands-on technical leader.
  • Why this job: Lead impactful projects and mentor others in a dynamic environment.
  • Qualifications: Strong experience in Databricks, PySpark, and cloud data architecture.

The predicted salary is between 63000 - 77000 £ per year.

Forsyth Barnes is searching for a Lead Data Engineer in London to design and deliver data solutions for financial institutions.

You will lead the end-to-end development of scalable data pipelines using Databricks and AWS technologies.

The role requires strong experience in Databricks, Py Spark, and knowledge of cloud data architecture.

A hands-on technical leader is sought who excels in mentoring others and balancing technical excellence with delivery timelines.

The position involves working onsite part-time and offers a minimum 6-month contract.
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Lead Data Engineer: Databricks Lakehouse Architect (London) employer: Forsyth Barnes

Forsyth Barnes is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Delivery, you will not only lead transformative projects in critical sectors like Utilities and Energy but also benefit from extensive professional development opportunities and a competitive salary package. Join us to make a meaningful impact while working alongside talented professionals in a supportive environment.

Forsyth Barnes

Contact Details:

Forsyth Barnes Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer: Databricks Lakehouse Architect (London)

Tap into Online Data Science Communities

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We think you need these skills to ace Lead Data Engineer: Databricks Lakehouse Architect (London)

Communication Skills
SQL
Problem-Solving Skills
Data Pipeline Development
Python
Data Engineering
API Integration

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Forsyth Barnes, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Forsyth Barnes, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Forsyth Barnes’s attention and show the tangible impact of your work.

How to prepare for a job interview at Forsyth Barnes

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Forsyth Barnes.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Forsyth Barnes.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Forsyth Barnes.