Associate Data Engineer

About Planet
Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.
We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.
Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.
Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.
Role overview:
As an Associate Data Engineer, you will help build and maintain Planet’s modern data platform, with a focus on Fivetran, Snowflake and dbt. You will work alongside Data Engineers, Data Analysts, AI Engineers, and business stakeholders to ensure data is accurate, reliable, and readily available for analytics, predictive, agentic and operational use cases.
What you will do
Develop and maintain data pipelines using ELT tools such as Fivetran and event-based data sources.
Support the integration of new data sources into Snowflake following established patterns and standards.
Build and maintain ETL/ELT processes to ensure timely and accurate data ingestion and transformation.
Assist in implementing ingestion patterns for incremental and full refresh data loads.
Support the operation and monitoring of reverse ETL pipelines to operational systems and APIs.
Monitor data pipelines and investigate failures, performance issues, and data quality problems.
Develop and maintain data transformation models using dbt.
Build and support dimensional models, including fact and dimension tables, following agreed modelling standards.
Help implement data quality tests, data validation rules, and lineage documentation within dbt.
Contribute to the modelling and preparation of trusted datasets for analytics, AI, and self-service use cases.
Work with Analytics Engineers and stakeholders to understand business requirements and translate them into data solutions.
Maintain documentation for pipelines, data flows, data transformations and platform components.
Follow data governance, security, and compliance standards across all solutions.
Who you are
Familiarity with data warehousing concepts and modern data platforms such as Snowflake, Databricks, or Redshift.
Experience using or learning ELT/ETL tools such as Fivetran or similar technologies.
Advanced SQL skills for querying, transforming, optimising, and analysing large datasets.
Experience with or exposure to dbt for data transformation and modelling.
Understanding of dimensional modelling concepts including facts, dimensions, and business metrics.
Basic understanding of software engineering practices including version control (Git) and CI/CD concepts.
Exposure to cloud platforms such as Azure, AWS, or GCP is beneficial.
Familiarity with data quality, data governance, and security principles is a plus.
Strong problem-solving and analytical thinking skills.
Ability to work collaboratively in cross-functional teams.
Clear communication skills and willingness to engage with both technical and non-technical stakeholders.
Strong attention to detail and commitment to producing high-quality work.
Ability to document solutions and contribute to team knowledge sharing.
Why Planet:
Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.
Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. We would love to hear from you – Apply now.
At Planet, we embrace a hybrid work model, with three days a week in the office.
Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.