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For Companies At a Glance
- Tasks: Maintain and enhance a Databricks data platform for high-quality data products.
- Company: KP Law, a leading litigation boutique with a focus on collective redress.
- Benefits: Enjoy hybrid working, annual bonuses, and a supportive work environment.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Join a dynamic team making a real impact in the legal industry through data engineering.
- Qualifications: Experience with Databricks, Apache Spark, and strong SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
The Firm
Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has over 100 employees across offices in London, Manchester, Birmingham, and Liverpool, representing over 250,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. Our ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Legatus Holdings), this allows us to take on larger, headline making cases with greater efficiency and confidence. All of our cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2026, and Band 2 for Group Litigation: Claimant in Chambers and Partners 2026.
The Role
Role Summary
As a Data Engineer you will be responsible for maintaining, enhancing, and evolving an existing Databricks data platform to support trusted, scalable, and high‑quality data products. Working closely with analysts, developers, and business stakeholders, you will build and extend a medallion architecture that underpins reporting, analytics, and downstream use cases. A key focus of the role will be embedding strong data quality controls and supporting clear data quality exception reporting to improve transparency, trust, and decision‑making across the organisation.
Key Duties & Responsibilities
- Databricks Platform & Data Engineering
- Maintain and optimise an existing Databricks environment, ensuring reliability, performance, and cost‑effectiveness
- Design, build, and enhance data pipelines using Spark and Databricks best practices
- Develop scalable, reusable data engineering patterns to support multiple data domains
- Monitor and troubleshoot pipeline failures, performance bottlenecks, and data issues
- Build and evolve Bronze, Silver and Gold layers aligned to business and analytical needs
- Implement clear transformation, enrichment, and aggregation logic between layers
- Design the Gold layer data models in collaboration with analysts and BI developers to meet defined analytical and reporting consumption requirements
- Define and implement data quality rules, validations, and thresholds across the data lifecycle
- Develop automated data quality checks and exception reports to highlight data issues
- Proactively identify root causes of data quality incidents and implement preventative fixes
- Partner with data owners and stakeholders to resolve data quality issues and improve source system practices
- Support data governance standards including schema management, naming conventions, and metadata
- Ensure appropriate data access controls and security measures are applied
- Maintain data lineage and documentation to support auditability and trust
- Work closely with analysts, developers and business teams to understand data requirements
- Translate business needs into robust, maintainable data engineering solutions
- Provide guidance on data availability, structure, and appropriate usage
- Document pipelines, data models, data quality rules, and architectural decisions
- Contribute to shared standards, templates, and best practices within the Data team
- Support knowledge transfer and mentoring within the Data team
- Continuously improve pipeline performance, reliability, and maintainability
- Identify opportunities to automate, standardize or simplify data engineering workflows
- Stay up to date with Databricks, Spark and cloud data engineering best practices
Essential Skills & Experience
- Proven experience as a Data Engineer working in a modern cloud data platform
- Strong hands‑on experience with Databricks and Apache Spark
- Experience building and maintaining medallion (Bronze/Silver/Gold) architectures
- Experience extracting and ingesting data using APIs
- Strong SQL skills for data transformation, validation, and analysis
- Proficiency in Python (or Scala) for data engineering and automation
- Experience designing and implementing data quality checks and controls
- Strong problem solving skills with a focus on data reliability and integrity
Desirable Skills & Experience
- Experience with cloud platforms such as Azure (especially services such as ADLS, Azure SQL Server, Key Vault) or similar platform services such as AWS/GCP
- Familiarity with Delta Lake and transactional data patterns
- Experience with data orchestration tools (e.g. Databricks Workflows, MS Scheduler)
- Understanding of data modelling concepts for analytics and reporting
- Experience supporting Power BI or other BI tooling through curated data layers
- Exposure to data governance, cataloguing, or lineage tools
- Familiarity with legal industry data and metrics.
Our Values
- Excellence in Everything
- We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do.
- We seek continuing competence by embracing feedback, learning from our experiences and that of others, and developing our expertise.
- We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service.
- We collaborate openly, valuing and respecting diverse perspectives to achieve the best results.
- We support and trust one another, fostering an inclusive environment where everyone can contribute and thrive.
- We recognise that success is a team effort, sharing knowledge and celebrating each other’s achievements.
- We approach challenges with a positive and proactive mindset, exploring creative and practical solutions.
- We take ownership of problems, staying committed and resilient until we achieve the best outcome.
- We embrace change and adaptability, seeing obstacles as opportunities to improve and innovate.
Our Benefits
We strive to offer a rounded benefits package, that employees value, no matter what stage of their career they are in. Current benefits include:
- Annual discretionary bonus scheme
- Company contributory pension scheme
- Hybrid working
- Life assurance
- Cash-back healthcare scheme
- Enhanced family friendly policies
- Employee Assistance Programme
- Subsidised gym membership
- Cycle to Work scheme
- Staff referral scheme
Data Engineer employer: KP Law
Contact Detail:
KP Law Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at KP Law on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your Databricks and Spark skills. Be ready to discuss how you've tackled data quality issues in the past, as this will show you're the right fit for their team.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've improved data pipelines or resolved data integrity issues. This will highlight your hands-on experience and proactive mindset.
✨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 KP Law.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Apache Spark, and any relevant projects that showcase your skills in building medallion architectures. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at KP Law. Be sure to mention specific examples of your work that relate to the key duties outlined in the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight your problem-solving abilities. Share examples of how you've tackled data quality issues or optimised data pipelines in the past. We love seeing candidates who can think critically and creatively!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at KP Law
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks and Apache Spark knowledge. Be ready to discuss how you've used these tools in past projects, especially in building medallion architectures. Having specific examples of how you've optimised data pipelines will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering, particularly around data quality and reliability. Think of a couple of scenarios where you identified root causes of data issues and how you implemented fixes. This will demonstrate your proactive mindset and ability to tackle problems head-on.
✨Understand the Business Needs
KP Law is all about combining legal expertise with tech solutions. Familiarise yourself with their ethos and think about how your role as a Data Engineer can support their mission. Be ready to discuss how you would translate business requirements into effective data solutions that enhance decision-making.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data governance practices or how they measure success in their data projects. This shows you're genuinely interested in the role and helps you assess if KP Law is the right fit for you.