At a Glance
- Tasks: Build innovative data pipelines and transform data for legal professionals.
- Company: Clio, the global leader in legal AI technology.
- Benefits: Competitive salary, flexible hybrid work, 25 days holiday, and private healthcare.
- Other info: Inclusive culture that values diverse perspectives and offers growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the legal tech space.
- Qualifications: Experience in data engineering, cloud infrastructure, and coding skills.
The predicted salary is between 69700 - 82000 £ per year.
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
We are currently seeking an Intermediate Data Engineer in Manchester to join our rapidly growing Data Engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This position is available to existing Clions in other roles who have suitable skills and interests.
Our Data Engineering team is driven to deliver an incredible experience to our customers–Clions and Clio's customers. As a Data Engineer at Clio, you will build data pipelines from scratch, make data sets accessible to our partner teams, and help build the platform and tools for data at Clio by writing production‑ready code. We move quickly, work with state‑of‑the‑art technologies, and are motivated by solving complex problems.
A day in the life might look like:
- Implement data ingestion (real‑time and batch) using best practices in data modeling, ETL/ELT processes by leveraging Azure technologies and data tools
- Design, build, and maintain data transformation pipelines and notebooks, consolidating various data sources (streaming or batch) into Data Lakes / Data Warehouses
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
- Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven
- Build interactive reports for internal and customer consumption
Skills you may have:
- Experience in software development, as well as experience in data engineering or data analytics
- Experience with cloud infrastructure (Azure)
- Proficiency in at least one major language (e.g., Python, Spark SQL, or Scala) and SQL, the drive to write elegant and maintainable code, and a desire to pick up new technologies
- Experience with streaming and batch data tools: Spark, Airflow
- Data warehousing experience working with MS Fabric or similar
- Experience using visualization tools (e.g., Power BI)
- Exceptional collaboration and communication skills, and the ability to derive clarity in ambiguous environments
- Experience using mirroring or other replication tools
- You are a self‑starter and thrive on feedback
What you will find here:
- Competitive, equitable salary
- Clio offers a flexible hybrid work environment
- 25 days holiday + bank holidays
- Private Healthcare with Life Insurance & Critical Illness cover
- Pension contribution
- Professional development and growth options
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
The expected salary range for this role is £69,700 to £82,000 to £94,300 GBP. There are a separate set of salary bands for other regions based on local currency. Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility:
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher‑performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers. We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.
Disclaimer: We only communicate with candidates through official @clio.com email addresses.
Data Engineer employer: SwiftCruit
Clio is an exceptional employer that champions innovation and collaboration within its Data Engineering team in Manchester. With a flexible hybrid work environment, competitive salary packages, and a strong commitment to professional development, Clio fosters a culture where employees can thrive and make a meaningful impact in the legal tech industry. The company's dedication to diversity, equity, and inclusion ensures that all team members feel valued and empowered to contribute their unique perspectives.
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We think this is how you could land Data Engineer
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We think you need these skills to ace Data Engineer
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!
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