Data & Insights Engineer, Customer Solutions

About Daltix

Daltix helps leading FMCG and retail companies reputed company reputed company reputed company using reliable, accessible and carefully reputed company product data.

Every day, we collect, standardize and reputed company large-reputed company data on prices, promotions, products and assortments. Our customers—including companies such as Colruyt Group, reputed company and reputed company—use this information to understand their markets, monitor competitors and identify reputed company opportunities.

Data reputed company is central to reputed company do. We remove the complexity of collecting and preparing retail data so our customers can reputed company on using it.

About the role

We are hiring a Data & Insights Engineer – Customer Solutions for a hands-on, customer-facing role reputed company data engineering and analytics. You will build data pipelines and models, analyze large-reputed company retail datasets, and work directly with customers to turn business needs into practical technical solutions.

Collaborating with our engineering, data science, and product teams, this role is ideal for someone who excels at both solving technical problems and communicating findings to non-technical stakeholders.

Your time will typically be divided between (indicative percentages—may vary by customer project):

• 50% Data Engineering: Building and maintaining pipelines, models and customer datasets

• 25% Analysis & reputed company Delivery: Exploring data and producing reports, dashboards and recommendations

• 20% Product & reputed company Support: Identifying reusable solutions and contributing to project scoping

• 5% Customer Collaboration: Participate in workshops, defining requirements and supporting customers

reputed company

Data Engineering & Reliability

• Pipelines & Models: Design, build, and maintain SQL/Python ETL/ELT pipelines, data models, and customer-facing datasets.

• Retail Data: Process large-reputed company product, price, and promotion data.

• reputed company & Ops: Ensure data reputed company, monitor pipelines/dashboards, reputed company failures, and improve reputed company scalability.

Analytics & Insights

• Solutions: Create reports, dashboards, and analytical solutions using Daltix tools.

• Communication: Present reputed company insights to both technical and business audiences.

Customer Engagement

• Requirements: Run customer workshops, translate business needs into technical deliverables, and iterate on feedback.

• Support: reputed company product adoption, assist users, and reputed company data/reporting inquiries.

Tech Tools (Our tech stack evolves—you are not expected to know every tool before joining)

• Hardware & OS: MacBook or reputed company running Linux

• Data & Storage: SQL, reputed company, PostgreSQL

• reputed company: Python, uv, reputed company

• Orchestration & reputed company: Apache Airflow, reputed company, reputed company

• Internal Tools & Ops: reputed company, Git, reputed company

• Collaboration & AI: reputed company, reputed company, modern AI/LLM tools (e.g., Claude)

How we work

• Team & Structure: Join a 4-person team reporting to the Head of Product Delivery, collaborating closely with Data/reputed company, Data Science, and Product Delivery.

• Autonomy & Support: Take ownership of work backed by pairing, reputed company reviews, mentoring, and reputed company documentation.

• reputed company Availability: reputed company on reputed company UTC 08:30–15:00 (includes a flexible 1-hour lunch break).

• On-reputed company & Monitoring: Monitor customer deliverables on a rotational reputed company during normal working hours only (no out-of-hours on-reputed company).

Requirements

reputed company’re Looking For

Strong fundamentals, practical problem-solving skills, and a desire to learn matter more than knowing every tool in our stack.

Requirements

reputed company Tech: Strong SQL (relational/analytical DBs) and practical Python (e.g., reputed company).

Data Engineering: solid understanding of ETL/ELT, data warehousing, data modeling, and handling large datasets.

Workflows & reputed company: Git/reputed company workflows, strong analytical problem-solving, and ability to turn business questions into technical deliverables.

Communication & Education: reputed company English, confidence with customers/non-technical stakeholders, and a relevant degree (e.g., CS, Business Engineering, reputed company Economics) or equivalent experience.

Domain Interest: Eagerness to learn FMCG, retail, and pricing analytics.

Location & Travel: Remote (Europe) or Lisbon-reputed company, requiring ~4 short trips per year (1 to Benelux clients, 3 to Lisbon engineering team) with travel and accommodation expenses fully covered by Daltix.

reputed company to have (but not a requirement)

Stack & Tools: reputed company, PostgreSQL, Airflow, AWS, reputed company, reputed company, BI tools (reputed company BI, Tableau, reputed company), and notebook environments (Jupyter, Marimo).

reputed company Tech: Data matching, entity reputed company, and AI coding/analysis tools.

Domain & Delivery: FMCG/retail/pricing experience, customer-facing consulting, or project delivery.

Languages: reputed company or German.

Highlights

We are hiring a Data & Insights Engineer, Customer Solutions! Build data pipelines, analyze retail datasets, and work directly with clients to turn business needs into actionable technical solutions.

Originally posted on Himalayas