Lead Data Engineer

Lead Data Engineer

Glasgow Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects and create innovative data solutions for top UK companies.
  • Company: Join Scott Logic, a B Corp committed to inclusivity and innovation.
  • Benefits: Enjoy 25-30 days of leave, private medical services, and flexible remote work options.
  • Why this job: Make a real impact by transforming data into actionable insights and solutions.
  • Qualifications: Experience in data engineering, Python, SQL, and strong problem-solving skills required.
  • Other info: Collaborative culture with opportunities for personal growth and learning.

The predicted salary is between 36000 - 60000 £ per year.

Overview

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.

Role

These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You\’d also be expected to spend some time on-site with clients in the London area on an ad-hoc basis.

Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset.

What we’re looking for

  • Good experience with some of the technologies and approaches typical in modern data engineering and reporting, including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data.
  • You\\\’ve worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc.
  • You\\’ve got a background in software engineering, including Front End technologies like JavaScript.
  • You’re a problem-solver, pragmatically exploring options and finding effective solutions.
  • An understanding of how to design and build well-structured, maintainable systems.
  • Strong communication skills and a collaborative approach to work.
  • You embrace the chance to try new things, learn new skills and grow your experience.

Nice-to-have

  • Experience of relevant cloud services within AWS, Azure or GCP.
  • Experience working in an Agile environment.
  • Experience working with common vendor products such as Snowflake or Data Bricks.
  • Experience working with CI/CD tooling.

What you’ll get in return

  • 25 days’ annual leave, rising to 30 days with each year of service.
  • Generous family leave policies.
  • Access to an employer pension scheme, private medical services and Group Life Assurance.
  • A range of optional benefits such as discounted gym membership and a cycle-to-work scheme.
  • A meaningful approach to evaluating your performance and providing feedback on your progress.

About us

At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you’ll find employee-led clubs and events, as well as free games, books, and refreshments.

We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

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Lead Data Engineer employer: Scott Logic

At Scott Logic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through our generous benefits package, including up to 30 days of annual leave, private medical services, and a supportive environment for skill development. Located in London, we provide opportunities for hands-on client engagement while promoting a flexible remote working approach, ensuring that our team members thrive both personally and professionally.
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Contact Detail:

Scott Logic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, or SQL. Having tangible examples of your work can really set you apart when chatting with potential employers.

✨Tip Number 3

Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your problem-solving approach. Don’t forget to highlight your experience with cloud services or Agile environments if you’ve got them!

✨Tip Number 4

Apply through our website! We’re always on the lookout for talented data engineers. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, it shows you’re genuinely interested in joining our team!

We think you need these skills to ace Lead Data Engineer

Data Engineering
Python
Spark
SQL
Pyspark
PowerBI
Software Engineering
JavaScript
Problem-Solving Skills
System Design
Communication Skills
Collaboration
Cloud Services (AWS, Azure, GCP)
Agile Methodologies
CI/CD Tooling

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 experience with technologies like Python, Spark, and SQL, and don’t forget to mention any client-facing roles you've had!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how your problem-solving skills can help our clients. Be genuine and let your personality come through.

Showcase Your Projects: If you’ve worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing how you’ve applied your skills in real-world scenarios, especially if they involve building data pipelines or using cloud services.

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 shows you’re keen to join our team at StudySmarter!

How to prepare for a job interview at Scott Logic

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and SQL. Brush up on your knowledge of data pipelines and how to transform data effectively, as this will likely come up during technical discussions.

✨Showcase Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. This is crucial for demonstrating your pragmatic approach to engineering challenges, which is a key aspect of the role.

✨Communicate Clearly

Strong communication skills are essential, especially since the role is client-facing. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to clients who aren’t as tech-savvy.

✨Embrace Learning and Adaptability

Be ready to talk about how you’ve embraced new technologies or methodologies in your past roles. Highlight your willingness to learn and adapt, as this aligns with the company’s values and their technology-agnostic approach.

Lead Data Engineer
Scott Logic
Location: Glasgow
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