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- Tasks: Design and build high-quality data solutions using SQL and Python.
- Company: Join a forward-thinking company committed to diversity and inclusion.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by innovating with data and technology.
- Qualifications: Proficiency in SQL and Python, with experience in data pipelines.
- Other info: Supportive environment with mentorship and career development opportunities.
The predicted salary is between 28800 - 48000 £ per year.
We’re looking for a mid-level Data Engineer to design, build, and deploy high-quality data solutions across Chambers’ products, platforms, and applications, ensuring they meet data engineering best practices and quality standards. In this role, you will champion engineering excellence and act as a subject matter expert for data-related projects, ensuring performance, scalability, and compliance with standards across the data engineering team.
We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development.
Main Duties and Responsibilities:
- Write clean and testable code using SQL and Python scripting languages, to enable our customer data products and business applications.
- Build and manage data pipelines and notebooks, deploying code in a structured, trackable and safe manner.
- Effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain.
- Analyse, profile and plan work, aligned with project priorities.
- Perform reviews of code, refactoring where necessary.
- Document your data developments and operational procedures.
- Ensure adherence to data/software delivery standards and effective delivery.
- Help monitor, troubleshoot and resolve production data issues when they occur.
- Contribute to the continuous improvement of the team.
- Innovate and experiment with technology to deliver real business benefits.
- Guide, influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options.
- Guide and mentor less experienced developers assigned on projects.
- Promote an innovative thinking process and encourage it in others.
Skills and Experience:
- Strong proficiency in SQL, including Spark SQL and MS SQL Server, for querying, data manipulation, and performance optimization.
- Hands-on experience with Python and PySpark for data processing, transformation, and automation tasks.
- Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks.
- Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows.
- Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments.
- Skilled in version control using GitHub and implementing CI/CD pipelines in Azure DevOps for data engineering workflows.
- Knowledge of data modeling and schema design to support efficient analytics and reporting.
- Understanding of cloud-based data platforms (e.g., Azure, AWS, GCP) and integration with modern data pipelines.
- Ability to monitor, troubleshoot, and optimize pipeline performance, ensuring data quality and reliability.
- Experience collaborating with data scientists, analysts, and product teams to deliver robust data solutions.
- Experience working with Terraform for infrastructure-as-code and automated deployment of cloud resources (desirable).
- Understanding of metadata based ingestion frameworks and data contracts (desirable).
Person Specification:
- A passionate data engineer with a history of driving his or her own technical and professional development.
- Able to clearly communicate with business and technology stakeholders.
- Attention to detail, focused on the finer details that make the difference.
- Delivery focussed, pragmatic and driven to get solutions live.
- Able to lead, providing thought leadership in the data domain.
- A proactive attitude. A self-starter who seeks out opportunities for yourself and your team.
- Awareness of industry and consumer trends.
- Able to build strong personal relationships and trust.
- Able to sell ideas or visions. Influence and advise stakeholders at all levels.
- Worked in the media, publishing, research, or a similar consumer focused industry (desirable).
Advert Closing Date: 27 Mar 2026
Advert Salary: Competitive
Junior Data Engineer in London employer: Chambers and Partners
Contact Detail:
Chambers and Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Ace that interview! Prepare by researching common data engineering questions and practice your answers. Don’t forget to showcase your SQL and Python skills – they’re your best mates in this field!
✨Tip Number 3
Show off your projects! Whether it’s a GitHub repo or a personal website, having a portfolio of your work can really set you apart. It’s a great way to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a chance to stand out and show us why you’re the perfect fit for the Junior Data Engineer role.
We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Junior Data Engineer role. Highlight your SQL and Python skills, and any experience with data pipelines or cloud platforms. We want to see how your background aligns with what we're looking for!
Show Off Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, be sure to mention them! We love seeing practical examples of your skills in action, especially if they relate to data engineering.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. 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: Don't forget to submit your application through our website! It’s the best way to ensure we receive your details directly. Plus, it shows you're keen on joining us at StudySmarter!
How to prepare for a job interview at Chambers and Partners
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and any other relevant technologies mentioned in the job description. Be ready to discuss your experience with data pipelines, Databricks, and Azure Data Factory. Having specific examples of how you've used these tools will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past challenges you've faced in data engineering and how you overcame them. Think about times when you had to troubleshoot production data issues or optimise pipeline performance. This will demonstrate your analytical skills and your ability to think on your feet.
✨Emphasise Collaboration
Since you'll be working closely with data scientists, analysts, and product teams, it's important to highlight your teamwork skills. Share examples of successful collaborations and how you communicated technical concepts to non-technical stakeholders. This shows that you can bridge the gap between tech and business.
✨Be Ready for Agile Discussions
Familiarise yourself with agile methodologies, as this role involves working within an agile framework. Be prepared to discuss how you've contributed to agile projects in the past, including how you manage priorities and adapt to changing requirements. This will show that you're a flexible and proactive team player.