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: Diverse and inclusive culture with excellent growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the legal tech space.
- Qualifications: Experience in software development and data engineering, with cloud skills preferred.
The predicted salary is between 69700 - 82300 £ 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.
What our team does:
- 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:
- Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
- Some highlights of our Total Rewards program include:
- 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.
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.
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.
Data Engineer in Manchester employer: Themis Solutions
Clio is an exceptional employer that prioritises employee growth and well-being, offering a competitive salary, flexible hybrid work options, and a robust Total Rewards program that includes private healthcare and professional development opportunities. Our inclusive work culture fosters collaboration and innovation, empowering Data Engineers in Manchester to tackle exciting challenges while contributing to our mission of transforming the legal experience for all. Join us to be part of a dynamic team where your skills will make a meaningful impact in the legal AI technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current Clio employees on LinkedIn or at events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your data engineering prowess, make sure to share it during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some real-time problems during interviews. Practising common data engineering scenarios can help you shine.
✨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 Clio team.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with Azure, data pipelines, and any relevant technologies. We want to see how your skills align with what we're looking for!
Showcase Your Projects:If you've worked on any cool data engineering projects, don’t hold back! Share details about the challenges you faced and how you solved them. This gives us a glimpse into your problem-solving skills and creativity.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate clarity and want to understand your experience without sifting through fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Themis Solutions
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Azure, Python, and SQL. Brush up on your knowledge of data ingestion methods and ETL/ELT processes, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve built data pipelines or transformed data sets in previous roles. This will demonstrate your hands-on experience and ability to think critically.
✨Collaborate and Communicate
Since the role involves working closely with other engineers, be ready to talk about your collaboration experiences. Highlight any projects where you’ve worked in a team, focusing on how you communicated and resolved conflicts to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about Clio’s data engineering practices and team culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Consider asking about their approach to data integrity or how they handle new technology adoption.
