At a Glance
- Tasks: Lead data engineering projects, build data platforms, and solve complex engineering challenges.
- Company: Join a B Corp tech company focused on innovation and inclusivity.
- Benefits: Enjoy 25-30 days annual leave, private medical services, and flexible remote work options.
- Why this job: Make a real impact by transforming data into insights for major UK clients.
- Qualifications: Experience in data engineering, software development, and strong problem-solving skills.
- Other info: Collaborative culture with employee-led clubs, events, and opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
Lead Data Engineer in Leeds employer: Scott Logic
Contact Detail:
Scott Logic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Get out there and connect with people 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
Don’t be shy about reaching out directly to companies you’re interested in. A quick email or LinkedIn message expressing your interest can go a long way. Plus, applying through our website gives you a better chance of being noticed!
✨Tip Number 4
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle technical challenges and discuss how you’ve approached similar issues in the past. Remember, it’s all about showing your thought process and collaboration skills!
We think you need these skills to ace Lead Data Engineer in Leeds
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 background in software engineering makes you a great fit for our team. Be sure to show off your problem-solving skills!
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 platforms or pipelines.
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 us 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 questions.
✨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 this is a client-facing role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders.
✨Embrace Learning and Flexibility
Highlight your willingness to learn new tools and adapt to different environments. Mention any experience with cloud services or Agile methodologies, as this shows you’re open-minded and ready to grow within the company.