Data Engineer

Overview 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. Equal Opportunity Statement

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. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change.

Applicants who identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions.

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 
• Deploy code in a structured, trackable and safe manner 
• 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 
• Contribute to the team’s ability to make and deliver on their commitments 
• Innovate and experiment with technology to deliver real business benefits. 
• Regularly launch products and services based on your work and be an integral part of making these a success. 
• 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. 
• Working within the agile framework at Chambers 

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 
• Awareness of and the ability to manage business and technology expectations. 
• 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