Senior Big Data Engineer
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team.It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Key Responsibilities
- Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms.
- Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams.
- Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies.
- Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability.
- Develop scalable data architecture strategies that support advanced analytics, machine learning, and real-time data processing.
- Define and implement data governance, metadata management, and data quality standards.
- Lead architectural reviews and technical design sessions to guide solution development.
- Ensure security, compliance, and regulatory requirements are addressed in all data solutions.
- Evaluate and recommend improvements to existing data architecture and processes.
- Provide mentorship and guidance to data engineers and technical teams.
Technical Expertise
- Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field.
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.
- Familiarity with data mesh, data fabric, or other emerging architectural patterns.
- Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks).
- Extensive experience with high level programming languages - Python, Java or Scala
- Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets.
- Extensive Experience working with Git and Process Automation
- In depth understanding of relational database management systems (RDBMS) and Data Flow Development.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
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