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- Tasks: Design and maintain data pipelines on Azure, using PySpark and Apache Airflow.
- Company: Circana is a diverse and inclusive company committed to continuous learning and growth.
- Benefits: Enjoy remote work flexibility, a supportive culture, and recognition as a Great Place To Work.
- Why this job: Make a significant impact in data engineering while collaborating with a global team.
- Qualifications: Experience in data engineering, Azure services, and strong programming skills in Python and SQL required.
- Other info: Join a team that values curiosity, accountability, and inclusivity.
The predicted salary is between 60000 - 84000 £ per year.
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified by Great Place To Work.
What will you be doing?
We are seeking a skilled and motivated Data Engineer to join a growing global team. In this role, 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!
Job 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.
Requirements
- Client facing role so strong communication and collaboration skills are vital.
- 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 with global remote teams.
Desirable:
- Experience with data modelling and data warehousing concepts.
- Familiarity with data visualization tools and techniques.
- Knowledge of machine learning algorithms and frameworks.
Circana Behaviours
As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviours throughout the business within their day-to-day role:
- Stay Curious: Being hungry to learn and grow, always asking the big questions.
- Seek Clarity: Embracing complexity to create clarity and inspire action.
- Own the Outcome: Being accountable for decisions and taking ownership of our choices.
- Center on the Client: Relentlessly adding value for our customers.
- Be a Challenger: Never complacent, always striving for continuous improvement.
- Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
- Commit to each other: Contributing to making Circana a great place to work for everyone.
Location
This position can be located in the following area(s): Bracknell.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Market Research
Senior Data Engineer (Remote) employer: Circana
Contact Detail:
Circana Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure, PySpark, and Apache Airflow. Having hands-on experience or projects that showcase your skills in these areas can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences in leading teams and working in Agile/Scrum environments. Circana values collaboration, so be ready to share examples of how you've fostered teamwork and best practices in your past roles.
✨Tip Number 3
Highlight your problem-solving skills by preparing to discuss specific challenges you've faced in data engineering. Be ready to explain how you optimised large-scale data processing tasks and the impact it had on your projects.
✨Tip Number 4
Emphasise your commitment to inclusivity and continuous learning. Circana looks for candidates who embody their core behaviours, so think of ways you've championed diversity and growth in your previous roles.
We think you need these skills to ace Senior Data Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure Data Services, PySpark, and Apache Spark. Use specific examples to demonstrate your skills in designing and optimising ETL/ELT pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your values align with Circana's commitment to diversity and inclusion. Mention your experience in leading teams and working in Agile environments to showcase your fit for the role.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and any experience with CI/CD pipelines or containerisation technologies. Providing concrete examples of past projects can help illustrate your expertise.
Highlight Soft Skills: Since this is a client-facing role, emphasise your strong communication and collaboration skills. Share instances where you've successfully worked with global teams or mentored others, as these experiences are valuable to Circana.
How to prepare for a job interview at Circana
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Azure Data Services, PySpark, Apache Spark, and Apache Airflow. Bring examples of past projects where you designed and optimised ETL/ELT pipelines, as this will demonstrate your technical expertise.
✨Communicate Clearly
Since this is a client-facing role, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical stakeholders.
✨Emphasise Team Leadership
Highlight any previous experience leading teams or mentoring others. Circana values collaboration, so be ready to discuss how you've fostered a positive team environment and promoted best practices in coding and documentation.
✨Demonstrate Curiosity and Problem-Solving
Circana looks for candidates who are eager to learn and improve. Prepare to share examples of how you've tackled challenges in data engineering, showcasing your problem-solving skills and your commitment to continuous learning.
