BI Data Engineer

Kpler; Polska; On-site; PLN 252,000 - 337,000; Full time

Job summary

A leading data analytics firm in Poland is seeking a Senior BI Data Engineer to build scalable data solutions and maintain ETL processes. The ideal candidate has over 4 years of experience in data engineering, strong SQL and Python skills, and the ability to work collaboratively in a global team. This role involves designing data pipelines and partnering with various business units to ensure quality and accessibility of data. Join a dynamic environment committed to innovation and support.

Benefits

Diverse work environment

Supportive team culture

Qualifications

• 4+ years of back-end and data engineering experience.
• Strong SQL and Python skills for data manipulation.
• Experience in a global environment.

Responsibilities

• Architect and develop scalable data solutions.
• Design ETL/ELT pipelines for data integration.
• Partner with stakeholders to align data strategies.

Skills

Back-end and data engineering

SQL

Python

AWS cloud infrastructure

Collaboration skills

Tools

GitHub

BigQuery

Looker

Tableau

Job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top‑tier intelligence through user‑friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting‑edge innovation for impactful results and experience unparalleled support on your journey to success.

We are looking for an experienced and highly motivated Senior BI Data Engineer to join our Business Intelligence & Insights team. Reporting to the Director of BI, you will build scalable pipelines, robust data models and reliable infrastructure that enable teams across the organisation to access accurate, high‑quality data.

Key Responsibilities

• Architect and develop scalable, resilient, high‑quality data solutions to support analytics, reporting and machine learning workloads.
• Design, implement and maintain reliable ETL/ELT pipelines that integrate, cleanse and consolidate data from diverse internal and external sources, including APIs and third‑party systems.
• Ensure data is accurately ingested, transformed, stored and made accessible through robust testing frameworks and clearly defined business rules.
• Translate business requirements into scalable data models and transformation logic, working with large, multidimensional datasets to surface insights, trends and opportunities.
• Build and maintain the BI reporting codebase, ensuring high standards of data integrity, availability and performance across the organization.
• Create and maintain backend infrastructure that supports analytics platforms, dashboards and machine learning pipelines.
• Develop and execute unit and integration tests for data pipelines and transformation scripts to ensure reliability and consistency.
• Proactively identify inefficiencies and bottlenecks in data flows and propose scalable, forward‑looking solutions.
• Partner closely with product managers, engineers, commercial teams and business stakeholders to understand strategy and data needs, aligning delivery with the BI roadmap.
• Contribute to team growth through code reviews, design discussions and knowledge sharing, while staying current with industry best practices.
• Take ownership of the quality, integrity and consistency of the BI data codebase and associated datasets.
• Ensure ETL efficiency and data availability to meet stakeholder requirements and business SLAs.
• Adhere to engineering best practices, including documentation, version control and maintainable code standards.
• Support and deliver against team OKRs and KPIs, contributing to overall team and business success.

Skills and Experience

• 4+ years of back‑end and/or data engineering experience, delivering production‑grade data solutions.
• Demonstrated experience working in a global or international environment, collaborating across regions and time zones.
• Strong SQL expertise with hands‑on Python scripting experience for data extraction, transformation and analysis.
• Proven experience ingesting and processing data from external APIs and third‑party data sources.
• Strong experience working with AWS cloud infrastructure, including EKS and ECS, and with modern data warehousing solutions (ideally BigQuery).
• Solid understanding of BI data architecture, with experience using version control systems such as GitHub or GitLab.
• Demonstrated ability to understand business logic behind datasets, ensuring high standards of data quality, consistency and trust.
• Highly analytical and detail‑oriented, with a focus on building reliable, scalable data solutions.
• Comfortable working with unstructured or imperfect data, transforming it into actionable insights.
• Strong collaboration skills, with experience working effectively in global, multicultural teams.
• Excellent communication skills, with the ability to translate complex technical concepts into clear insights for non‑technical stakeholders.

Nice to have

• Experience with BI and visualization tools such as Looker, Tableau, or similar platforms.
• Working knowledge of PHP.

We act decisively and with purpose, going the extra mile.

We build together.

We foster relationships and develop creative solutions to address market challenges.

We are here to help.

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge – Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work‑environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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