At a Glance
- Tasks: Design and develop scalable data solutions for legal technology using advanced tools.
- Company: Leading firm in legal tech, focused on innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI and process improvement.
- Why this job: Join a dynamic team to revolutionise legal operations with cutting-edge data engineering.
- Qualifications: 5-10+ years in data engineering with strong SQL and Python skills.
The predicted salary is between 63000 - 77000 £ per year.
- 5-10+ years of experience delivering data engineering, analytics, and business intelligence solutions in legal, corporate, and highly regulated environments.
Expertise in Legal Matter Management systems, e Billing platforms, legal spend analysis, matter lifecycle management, invoice validation, accrual reporting, request management, and legal operations analytics.
- Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives.
- Advanced SQL and Python skills for data extraction, transformation, automation, optimization, analytics, and machine learning applications.
- Extensive experience with SQL Server, Oracle, Postgre SQL, My SQL, Snowflake, and Azure-based data platforms.
- Build semantic layer and executive dashboards, KPI scorecards, and operational reporting solutions using Business Objects, Tableau.
- Implement data governance, master data management (MDM), metadata management, and data quality frameworks to ensure compliance and data integrity.
- Support legal, finance, procurement, and executive stakeholders with actionable insights that drive strategic decision-making and operational efficiency.
- Leverage AI-powered tools and generative AI technologies to automate workflows, enhance analytics, improve documentation, and increase productivity.
- Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve reporting accuracy and business confidence.
- Ensure adherence to information security, privacy regulations, and governance standards for sensitive legal and corporate data.
- Collaborate with cross-functional teams using Agile and modern data engineering practices to deliver scalable, business-focused solutions.
- Drive process improvement, automation, cloud migration, and enterprise data transformation initiatives that reduce manual effort and accelerate analytics capabilities.
- Develop AI-ready datasets by ensuring data completeness, consistency, accuracy, timeliness, and governance compliance across enterprise data ecosystems.
- Experience with legal technology platforms including Team Connect, Litify, Onit, and other Legal Matter Management and e Billing solutions.
- Expert in data modeling and architecture best practices, designing scalable conceptual, logical, and physical data models, dimensional schemas, and governed data structures that enable high-performance analytics, business intelligence, and AI-ready data platforms.
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Data Engineer - Legal Technology in London employer: Neev
As a leading employer in the Research and Development sector, we offer an innovative work culture that fosters creativity and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage with cutting-edge digital strategies that drive real business value. Located in a vibrant area, we provide a dynamic environment where your contributions directly impact our mission in Petcare, making this a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Legal Technology in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Neev!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - Legal Technology at Neev.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Neev.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Legal Technology at Neev, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - Legal Technology in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Neev, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Neev. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Neev
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Neev!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
