Data Engineer

Data Engineer – Audience Measurement Market Research

Make Your Mark at Ipsos

Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a Data Engineer to join our innovative Audience Measurement team. This is a fantastic opportunity to work on both high-profile, established projects for blue-chip clients and to contribute to brand-new, greenfield initiatives.

This role will suit candidates with 2 to 3 years of commercial experience.

The role is based in our Cambridge offices but we also welcome applications from those who can work from our central London offices and able to travel to our offices in Cambridge where the main team is based.

What is in it for you?

We are constantly evolving our workflows and are committed to investing in cutting-edge technology. If you are passionate about building and deploying data-centric systems on a major cloud platform and want to make a tangible impact, you will thrive here. You will have the opportunity to contribute ideas and grow with a team that is shaping the future of our data infrastructure.

Opportunity to Build and Maintain Data Pipelines: Your primary responsibility will be to build, maintain, and improve our data pipelines and ETL/ELT processes Work with Data Warehousing Solutions: You will work with our data warehousing solutions, contributing to data models and optimizing queries to ensure data is accessible and performant for our analytics teams. Develop and Monitor Data Workflows: You will help develop, maintain, and monitor our data ingestion and delivery pipelines using modern orchestration tools, ensuring data flows seamlessly and reliably Uphold Data Quality: You will apply best practices for data quality, testing, and observability, helping to ensure the data delivered to stakeholders is accurate and trustworthy. Collaborate on Data-Driven Solutions: You will work closely with our talented Data Scientists and R&D teams, understanding their requirements to provide the clean and structured data needed to power their research Support System Reliability: You will help monitor the health and performance of our data systems. When issues arise, you'll assist with root cause analysis, deploy fixes, and provide technical support. Contribute to Technical Excellence: You will continuously learn about new data technologies, help test and implement enhancements to our data platform, and contribute to technical documentation.

The Role:

As a key member of our team, you will be a key part of our data platform, helping to ensure its reliability, scalability, and efficiency.

About you:

Experience in Data Pipeline and ETL Development: Solid experience building and maintaining data pipelines, with a good understanding of ETL/ELT patterns. Proficiency in Python and SQL: Strong, hands-on experience using Python for data processing and automation, and solid SQL skills for querying and data manipulation. Understanding of Data Modeling and Warehousing: A good understanding of data modeling techniques and data warehousing concepts. Expertise with Cloud Platforms: Experience with major cloud providers (GCP, AWS, or Azure) and their core data services. We primarily use GCP, so experience there is a significant plus. Familiarity with Big Data Technologies: Exposure to or experience with large-scale data processing frameworks (., Spark, or similar). Workflow Orchestration: Familiarity with data workflow orchestration tools (., Airflow, or similar). Infrastructure as Code (IaC): An interest in or exposure to IaC tools (., Terraform). Containerization: Familiarity with container technologies like Docker and Kubernetes. CI/CD for Data: A basic understanding of how to apply continuous integration/delivery principles to data workflows. Data Quality and Testing: An interest in modern data quality and testing frameworks. Version Control: Proficiency with version control systems like Git.

Benefits:

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health & wellbeing, financial benefits and professional development opportunities.

We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.

Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.

Ready to have an impact? Apply now!