At a Glance
- Tasks: Build and optimise data platforms, ensuring quality and reliability in a collaborative environment.
- Company: Join Legal 500, a leader in the global legal market with a focus on data excellence.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a supportive culture, located in vibrant Fleet Street, London.
- Why this job: Make a real impact by shaping data engineering standards and solving complex challenges.
- Qualifications: Strong SQL, Snowflake, and Python skills with a passion for data quality and integrity.
The predicted salary is between 60000 - 80000 € per year.
At Legal 500, data sits at the heart of how we support and inform the global legal market. As we continue to scale our data platform and expand the use of trusted analytics across the business, we’re looking for a Senior Data Engineer to help build the foundations that ensure our data is accurate, reliable, observable, and trusted by default. This is not a role focused purely on moving data from A to B. We’re looking for an engineer who genuinely cares about data quality, testing, integrity, monitoring, and operational excellence, someone who enjoys solving complex platform challenges and building scalable engineering standards that other teams can rely on. You’ll join a growing Data team within a Microsoft/Azure environment and play a key role in shaping how data engineering is done across the business.
What We’re Looking For
- Strong SQL and Snowflake expertise, including designing, optimising, and testing analytical data models, alongside implementing data validation and integrity checks.
- Strong Python engineering experience within modern data environments, including automation, pipeline development, and operational tooling.
- Proven experience implementing data quality and testing frameworks across modern data stacks, including schema testing, anomaly detection, reconciliation checks, and dbt/CI/CD integration.
- Experience working with Infrastructure as Code principles and tools such as Terraform or similar.
- Experience implementing monitoring, alerting, observability, and orchestration solutions using tools such as Dagster, GitHub, and CI/CD workflows.
What Success Looks Like
- Data quality issues are detected automatically and early.
- Failures are visible, actionable, and monitored effectively.
- Engineers and analysts trust the data platform by default.
- Testing and validation become embedded into everyday engineering workflows.
- The platform scales confidently as data usage and business demands increase.
Location & Working Pattern: Fleet Street, London Hybrid working – 3 days per week in the office.
Senior Data Engineer employer: LegalEase
At Legal 500, we pride ourselves on being an exceptional employer that values data integrity and innovation. Our collaborative work culture fosters continuous learning and professional growth, particularly for our Senior Data Engineers who play a pivotal role in shaping our data platform. With a prime location on Fleet Street, London, and a hybrid working model, we offer a dynamic environment where employees can thrive while enjoying the benefits of a supportive team and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Legal 500. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your SQL, Python, and data quality expertise in a tangible way.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Be ready to discuss how you’ve tackled issues related to data integrity and monitoring in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Legal 500.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your genuine interest in data quality and integrity. Share examples of how you've tackled complex data challenges in the past, and why you care about building reliable data systems.
Highlight Relevant Experience:Make sure to emphasise your strong SQL and Python skills, along with any experience you have with Snowflake or similar tools. We want to know how you've implemented data quality frameworks and what impact it had on your previous projects.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key when discussing technical details!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at LegalEase
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data quality and integrity. Be ready to discuss specific examples where you've implemented data validation checks or tackled data quality issues. This shows you genuinely care about the core responsibilities of the role.
✨Showcase Your Technical Skills
Brush up on your SQL and Python skills, as these are crucial for the position. Prepare to solve a technical problem or answer questions that test your knowledge of Snowflake and data pipeline development. Practising coding challenges can help you feel more confident.
✨Demonstrate Your Problem-Solving Mindset
Think of complex challenges you've faced in previous roles and how you approached them. Be ready to explain your thought process and the engineering standards you applied. This will highlight your ability to tackle the kind of platform challenges they’re looking for.
✨Familiarise Yourself with Their Tools
Research the tools mentioned in the job description, like Terraform, Dagster, and CI/CD workflows. If you have experience with similar tools, be prepared to discuss how you’ve used them to improve data operations. Showing familiarity with their tech stack can set you apart.
