We are seeking a highly skilled Data Engineer with hands-on experience designing and delivering complex, data-intensive processes and solutions. The successful candidate will bring a strong and well-rounded skill set across ETL pipelines, modern data frameworks, and cloud-native platforms.

You will have proven experience developing and maintaining scalable ETL pipelines, implementing big data solutions such as data lakes and lakehouses, and working closely with software engineers and data scientists to build robust, production-grade data processes across multiple systems.

The ideal candidate will demonstrate advanced proficiency in SQL and Python, along with experience using data orchestration tools such as Dagster or Airflow. Experience working with unstructured data, NoSQL technologies, containerisation, or additional programming languages is desirable. You will be passionate about best practices and committed to building solutions that are secure, maintainable, and scalable.

In this role, you will be responsible for architecting and owning production data systems that empower machine learning and software engineering teams, while improving operational efficiency across the business. You will develop a strong understanding of the end-to-end data landscape and use this knowledge to collaborate with cross-functional teams to scope, design, and deliver new and enhanced business initiatives.

Main Duties and Responsibilities

• Scope, architect, and implement production-grade ETL pipelines to consolidate datasets into a data-lake or lakehouse solution, ensuring data is accessible to a wide range of stakeholders.
• Design and develop data structures that support analysis and drive business processes by integrating diverse data sources, including usage, geolocation, and other structured and unstructured datasets across multiple systems.
• Develop, maintain, and enhance complex production-grade data processes, including finance flows, profitability models, and analytics datasets.
• Collaborate with internal teams (including SysOps, Technology, Finance, and others) as part of delivery squads to define business requirements, deliver analytical solutions, and implement process improvements.
• Act as part of the team responsible for ownership of orchestration rulesets, monitoring and maintaining underlying logic to ensure accuracy and consistency on an ongoing basis.

About You – Personally

All plan.com employees are expected to present a professional and efficient image at all times and to undertake tasks reasonably requested by the business. We are looking for someone who demonstrates:

• A proactive, can-do attitude and a willingness to go the extra mile
• High energy and a collaborative approach, with the ability to work independently
• Meticulous attention to detail and pride in delivering high-quality work
• Curiosity and a strong desire to learn, with a passion for solving complex problems
• A genuine enthusiasm for the business

You will act as an ambassador for our corporate values: Trust, Passion, and Excellence.

Personal Qualities

Essential

• Willingness and ability to learn new concepts, tools, and/or languages as required
• Excellent communication and collaboration skills, with the ability to clearly explain technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, dynamic environment while managing multiple priorities

Knowledge, Skills, and Attributes

Essential

• Strong analytical and problem-solving skills, with the ability to interpret complex datasets and extract actionable insights
• Advanced proficiency in Python and SQL, with experience using ETL and orchestration frameworks (e.g. Dagster, Prefect, DBT, Airflow)
• Experience working with leading data lake and data warehousing platforms (e.g. Azure, Databricks, Snowflake, AWS)

Desirable

• Experience with additional programming languages (PHP, R, Go) and containerisation technologies (Docker, Docker Swarm)
• Knowledge of distributed data processing technologies (e.g. Spark, Dask, Polars)
• Confidence using distributed version control systems (Git, GitHub) to support collaboration and change management best practices

Key attitude and behaviours

Exceptional results require exceptional people. Exceptional people who live and breathe the plan.com values. We are built on trust, fuelled by passion and driven by excellence.

Attributes we look for include:

• Curious and continuous learner – We value individuals who are eager to learn and grow and committed to self-improvement. We encourage continuous learning and provide a wide range of opportunities for personal and professional development.
• Innovative and Initiative – We embrace innovation and encourage our team members to be ambitious, think outside the box, challenge the status quo, and explore new ideas to drive growth and success. We value team players who can work off their own initiative, empower our people to make informed decisions and trust them to do the right thing.
• Adaptable – In a dynamic industry, adaptability is key. We seek individuals who can thrive in a changing environment, embrace new challenges, and quickly adjust to evolving circumstances while maintaining a positive attitude.
• Collaborative – We value the collective power of working together.
• Passion – One of our three core values, passion goes beyond our people's enjoyment of their work. It's a passion for the business and their contribution to furthering its success. It means striving to be the best and encouraging those around us to do the same. And it means not being afraid to take risks. Go big or go home!

Essential

• Bachelor’s or Master’s degree in Data Engineering, Computer Science, Applied Mathematics, Physics, or a related quantitative discipline
• Proven experience (3+ years) as a Data Engineer or Data Scientist in a data- or computation-intensive role, ideally within the telecommunications industry