dunnhumby is the global leader in Customer Data Science, partnering with the worlds 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.

Were looking for a Sr Big Data Engineer who expects more from their career.

Its chance to extend and improve dunnhumbys Data Engineering Team. Its 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.

- Partner with business and IT teams to translate business needs into data architecture requirements.

- Explore appropriate tools, platforms, and technologies aligned with organizational standards.

- 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.

- Experience with data governance frameworks and tools (e. , Collibra, Alation, OpenMetadata).

- Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.

- Strong understanding of API design and data security best practices.

- Familiarity with data mesh, data fabric, or other emerging architectural patterns.

- Experience working in Agile or DevOps environments.

- Experience with modern data stack tools (e. , dbt, Snowflake, Databricks).

- Extensive experience with high level programming languages Python, Java & 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.

Soft Skills :

- Problem-Solving : Strong analytical skills to troubleshoot and resolve complex data pipeline issues.

- Communication : Ability to articulate technical concepts to non-technical stakeholders and document processes clearly.

- Collaboration : Experience working in cross-functional teams and managing stakeholder expectations.

- Adaptability : Willingness to learn new tools and technologies to stay ahead in the rapidly evolving data landscape.

What you can expect from us :

We wont just meet your expectations.

Well defy them. So youll enjoy the comprehensive rewards package youd 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.

Youll 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 dont just talk about diversity and inclusion.