Job Category: Science
Job Description: 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 are able to travel to our Cambridge offices 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.
Responsibilities:
1. Build and Maintain Data Pipelines: Your primary responsibility will be to build, maintain, and improve our data pipelines and ETL/ELT processes.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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 vital 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. Experience with GCP is a significant plus.
* Familiarity with Big Data Technologies: Exposure to or experience with large-scale data processing frameworks (e.g., Spark).
* Workflow Orchestration: Familiarity with data workflow orchestration tools (e.g., Airflow).
* Infrastructure as Code (IaC): An interest in or exposure to IaC tools (e.g., Terraform).
* Containerization: Familiarity with Docker and Kubernetes.
* CI/CD for Data: Basic understanding of continuous integration/delivery principles for data workflows.
* Data Quality and Testing: Interest in modern data quality and testing frameworks.
* Version Control: Proficiency with Git.
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 our Talent Team, who will contact you regardless of the outcome.
Ready to have an impact? Apply now!
About Us:
Ipsos is one of the world's largest research companies, ranked as the #1 full-service research organization for four consecutive years. With over 75 data-driven solutions and presence in 90 markets, Ipsos combines research, implementation, and expertise to deliver top-quality insights, helping clients solve major problems worldwide.
Benefits:
We offer a comprehensive benefits package, including 25 days of annual leave, pension, income protection, and life assurance. We also support flexible working arrangements and have a hybrid work model requiring presence in the office or with clients 3 days per week.
We promote diversity, equality, and an inclusive working environment to better understand and serve our global clients.
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