Senior Big Data Engineer Architect

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 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Nestlé Unileverand Metro.

Were looking for aSr 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

• Bachelors or masters 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.g. 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.g. 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. 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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