At a Glance
- Tasks: Build data platforms and pipelines for top UK companies, transforming data into insights.
- Company: Join Scott Logic, a B Corp committed to 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 with cutting-edge technology in a collaborative environment.
- Qualifications: Experience in data engineering, Python, SQL, and strong problem-solving skills required.
- Other info: Embrace a culture of diversity and continuous learning with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Scott Logic Newcastle Upon Tyne, England, United Kingdom
6 days ago Be among the first 25 applicants
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 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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Software Development
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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
Network like a pro! Reach out to your connections on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Prepare for those interviews! Research Scott Logic and understand their projects and values. Tailor your answers to show how your skills in data engineering align with their needs, especially around technologies like Python and SQL.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss past challenges you've tackled in data engineering. Use specific examples that highlight your experience with data pipelines and cloud services.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Scott Logic.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior 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 makes you a great fit for our team. Be sure to mention any relevant projects or achievements.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled tough engineering challenges in the past. We love seeing candidates who can think critically and come up with effective solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Scott Logic!
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 cloud services like AWS or Azure, as these will likely come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating your pragmatic approach to problem-solving.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to clients who aren’t as tech-savvy. This will show your collaborative approach and ability to work with diverse teams.
✨Embrace Continuous Learning
Scott Logic values a growth mindset, so be ready to discuss how you keep your skills sharp. Mention any recent courses, certifications, or projects that showcase your willingness to learn and adapt to new technologies and methodologies.