We are looking for a talented

Data Engineer , specialising in designing and optimising scalable data pipelines, and cloud-based data solutions. This position requires expertise in Python, SQL, dpt and experience with Snowflake. If you have industry experience working with Retail and CPG this could be the role for you! Our client is the leading collaborative commerce platform that connects CPG brands to real-time sales and inventory data from 40+ retailers and distributors. We serve 7,000+ brands representing over $2.5T in retail sales across 250K+ stores, working with industry leaders like Nestlé, and KraftHeinz. This business believes that teamwork drives innovation. By uniting talented, motivated creators from diverse backgrounds, they are tackling one of the worlds most pressing challenges: making the food supply more sustainable, resilient, and efficient. If youre passionate about solving meaningful problems while building a company youll be proud of, wed love to hear from you. About the position As a Data Engineer, youll play a vital role in turning complex, messy datasets into reliable, actionable insights that drive smarter decisions for our customers. Youll design and optimise scalable data pipelines, ensure data quality, and help evolve our platform to handle the growing demands of the global food supply chain. In this role, you wont just build pipelines, youll help shape the future of our platform. From performance tuning and architecture improvements to enabling new customer capabilities, your impact will extend far beyond day-to-day operations. This is an evolving position with ample opportunity for growth. Whether your background is in startups or larger organisations, youll thrive here if you enjoy ownership, impact, and the chance to define your role as the business scales. What youll work on Design, build, and optimise scalable data pipelines and workflows. Collect, transform, and normalise datasets to ensure quality and reliability. Collaborate with teams across the business to align solutions with real-world business needs. Contribute to the evolution of the business data platform by driving improvements in performance and architecture. Signs of a great candidate for the role Data oriented:

You think in systems and live by the mantra garbage in, garbage out. Business-focused:

You design robust pipelines that align with stakeholder needs and drive meaningful outcomes. Technical expertise: Advanced

Python

skills for data engineering tasks. Experience building and maintaining web scraping pipelines. Strong

SQL

skills, with expertise in performance tuning. Strong proficiency with

dbt

for data transformations. Hands-on experience with Apache Airflow or Prefect. Proficiency with GitHub, GitHub Actions, and CI/CD pipelines. Nice to have: Experience with GCP (BigQuery, Dataflow, Composer, Pub/Sub) or AWS. Familiarity with Snowflake. Knowledge of object-oriented programming (Kotlin, Java, or C#). Retail data experience (sales, inventory, or related datasets). What would make you a great fit: Collaboration:

You believe the best results come from working together. You share ideas, pitch in, and elevate those around you. Grit:

Youre curious, self-driven, and unafraid to roll up your sleeves. You get the job done even when the path isnt clear and adapt quickly when things change. People:

You stay close to those we serve. Listening, learning, and building what matters most. Feedback:

You see it as fuel. You give it with care, take it with humility, and use it to level up. Ingenuity:

You solve problems with creativity and speed. You look for ways to streamline, automate, or improve without being asked. We are committed to transparency, diversity, and meritocracy, fostering an environment where every team member is empowered to make an impact, grow personally, and advance in their career. We invite you to join us

not just to take on a role, but to help shape a company youre proud to be part of. Applicants must be authorized to work for any employer in the U.K. or Poland. The business is unable to sponsor or take over sponsorship of an employment Visa at this time.

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