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Job Summary:
What is the role & team:
Join our Global Professional Services team as a Data Engineer, where you will be instrumental in bridging the gap between client needs, business objectives, and cutting-edge technology solutions, particularly supporting our new Private Cloud clients.
This role is for more than just a service provider; we are seeking a consultant-minded go-getter who is client-obsessed, a liquid thinker who thrives at pace, and is bold and brave in challenging the status quo. We are a team that values being part of a successful business and building partnerships based on trust, deep knowledge, respect, and unwavering support.
We are passionate about technology, data and AI and how it can be leveraged to solve our clients' most pressing business challenges. You will be a key player in understanding our clients' world, becoming their trusted partner, and proactively identifying opportunities for innovation and efficiency. Curiosity, accountability, and a positive, questioning mindset are at the core of our team's DNA – we don't just aim to meet expectations, we strive to exceed them.
You will work collaboratively with global Circana teams, acting as the vital link to ensure seamless, unified support and strategic technological partnership for our clients.
In this role we are seeking a skilled and motivated Data Engineer to join a growing Global Team based in the UK. You will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for Data Engineering and a desire to make a significant impact, we encourage you to apply!
Key Responsibilities:
- ETL/ELT Pipeline Development:
- Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow.
- Implement batch and real-time data processing solutions using Apache Spark.
- Ensure data quality, governance, and security throughout the data lifecycle.
- Cloud Data Engineering:
- Manage and optimize cloud infrastructure (Azure) for data processing workloads, with a focus on cost-effectiveness.
- Implement and maintain CI/CD pipelines for data workflows to ensure smooth and reliable deployments.
- Big Data & Analytics:
- Develop and optimize large-scale data processing pipelines using Apache Spark and PySpark.
- Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads.
- Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives.
- Workflow Orchestration (Airflow):
- Design and maintain DAGs (Directed Acyclic Graphs) in Apache Airflow to automate complex data workflows.
- Monitor, troubleshoot, and optimize job execution and dependencies within Airflow.
- Team Leadership & Collaboration:
- Provide technical guidance and mentorship to a team of data engineers in India.
- Foster a collaborative environment and promote best practices for coding standards, version control, and documentation.
Required Skills & Experience:
- Client facing role so strong communication and collaboration skills are vital (Ideally gained in a Consulting organisation)
- 5+ years of proven experience in data engineering, with hands-on expertise in Azure Data Services, PySpark, Apache Spark, and Apache Airflow.
- Strong programming skills in Python and SQL, with the ability to write efficient and maintainable code.
- Deep understanding of Spark internals, including RDDs, DataFrames, DAG execution, partitioning, and performance optimization techniques.
- Experience with designing and managing Airflow DAGs, scheduling, and dependency management.
- Knowledge of CI/CD pipelines, containerization technologies (Docker, Kubernetes), and DevOps principles applied to data workflows.
- Excellent problem-solving skills and a proven ability to optimize large-scale data processing tasks.
- Prior experience in leading teams and working in Agile/Scrum development environments.
- A track record of working effectively global remote teams
Bonus Points:
- Experience with data modelling and data warehousing concepts.
- Familiarity with data visualization tools and techniques.
- Knowledge of machine learning algorithms and frameworks.
What are we looking for?
We are seeking an individual who embodies the following characteristics:
- An authentic optimist with a genuine passion for solving problems and driving progress.
- Intensely curious – you love to understand the 'why' and 'how' behind things, especially when it comes to technology and client challenges.
- Highly accountable for your actions, your deliverables, and the success of your clients.
- Comfortable and adept at building strong, professional relationships with both external clients and internal technical and business teams.
- Deeply committed to giving your best for your team and ensuring our technology solutions exceed client expectations.
- Confident in making informed decisions, weighing options and considering the technical and business implications.
- Highly organised, with meticulous attention to detail in managing documentation, communication, and time.
- Passionate about technology, Data, AI, and their application in solving real-world business problems.
- Previous experience translating client requirements into technical specifications
Previous experience building relationships with clients.
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