At a Glance
- Tasks: Join us as a Senior Data Engineer, building data platforms and pipelines for top UK clients.
- Company: Scott Logic delivers bespoke software solutions and expert advice to major companies and government departments.
- Benefits: Enjoy 25-30 days annual leave, private medical services, and flexible remote work options.
- Why this job: Be part of a B Corp committed to social impact, with opportunities for growth and collaboration.
- Qualifications: Experience in data engineering, Python, SQL, and a background in software engineering is essential.
- Other info: Engage in hands-on, client-facing roles with a chance to lead teams and solve engineering challenges.
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 are we 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.
It would be great if you 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 is:
- 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 behavior 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.
Senior Data Engineer employer: Scott Logic
Contact Detail:
Scott Logic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Spark, and SQL. Having hands-on experience or projects showcasing these skills can set you apart during interviews.
✨Tip Number 2
Highlight your problem-solving abilities by preparing examples of past challenges you've faced in data engineering. Be ready to discuss how you approached these issues and the solutions you implemented.
✨Tip Number 3
Since this role involves client interaction, practice articulating complex technical concepts in a simple manner. This will demonstrate your strong communication skills and ability to collaborate effectively.
✨Tip Number 4
Research the company’s values and culture, especially their commitment to being a B Corp. Showing that you align with their mission can make a positive impression during your discussions.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies like Python, Spark, and SQL. Emphasise any hands-on projects or roles where you've built data platforms or pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Data Engineer position and how your background aligns with the company's needs. Mention your problem-solving skills and experience in client-facing roles.
Showcase Your Technical Skills: Include specific examples of your work with data lakes, warehouses, and cloud services like AWS or Azure. Highlight any experience with CI/CD tooling and Agile methodologies to demonstrate your adaptability.
Prepare for Interviews: Be ready to discuss your technical expertise and past projects in detail. Prepare to answer questions about your approach to solving engineering challenges and how you collaborate with teams and clients.
How to prepare for a job interview at Scott Logic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with technologies like Python, Spark, SQL, and PowerBI. Highlight specific projects where you've built data pipelines or worked with cloud services such as AWS, Azure, or GCP.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Share examples of tough engineering challenges you've faced and how you pragmatically explored options to find effective solutions.
✨Emphasise Communication and Collaboration
Since the role is client-facing, strong communication skills are essential. Prepare to discuss how you've collaborated with teams or clients in the past and how you approach sharing technical information with non-technical stakeholders.
✨Familiarise Yourself with Agile Methodologies
If you have experience working in an Agile environment, be ready to talk about it. Discuss how Agile practices have influenced your work and how they can enhance project delivery in data engineering.