Data Engineer

We are seeking a highly skilled
Data Platform Engineer
to join our client's team and help architect, build, and optimize our client's enterprise data platform. This role will focus on
Snowflake
as the core data warehouse technology and will be instrumental in designing scalable data models, defining semantic layers, and enabling advanced analytics and AI-driven use cases.

What can we offer:

• Long-term cooperation based on Employment contract
• Work mode: Hybrid in Warsaw (2-3 days per week from office)

Responsibilities:

• Design and implement robust, scalable, and performant Snowflake database schemas and data models.

• Define and maintain semantic layers to support self-service analytics and machine learning workflows.

• Develop and optimize SQL for data transformation, aggregation, and consumption.

• Integrate data from diverse sources including relational databases, interface files, message queues, and APIs.

• Collaborate with data scientists, analysts, and application developers to ensure data accessibility and usability.

• Implement and maintain data governance, security, and RBAC policies within Snowflake.

• Monitor and tune performance of data pipelines and warehouse queries.

• Contribute to the development of data platform standards, best practices, and documentation.

Qualifications:

• 5+ years of experience in data engineering, database design, or data platform development.

• Strong expertise in Snowflake, including schema design, performance tuning, and data sharing.

• Proficiency in SQL, with experience writing complex queries and stored procedures.

• Experience with data integration from varied sources (e.g., APIs, flat files, message queues).

• Familiarity with ETL/ELT frameworks and orchestration tools (e.g., dbt, Airflow).

• Understanding of semantic modeling and analytics enablement.

• Solid programming skills in Python or Java for data processing and automation.

• Knowledge of data governance, security, and access control principles.

Preferred Knowledge & Tools:

• Experience with AI/ML workflows and enabling data access for model training and inference.

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native data services.

• Exposure to BI tools (e.g., Tableau, Power BI) and how they interact with semantic layers.

• Experience with CI/CD and DevOps practices in data engineering.

About Us

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.

How you will get the job done

• conducting technical implementation in Celonis, including data transformation and dashboard application development
• translating business needs into technical specifications and developing customer-specific process mining solutions for our insurance processes
• acting as a strong link between the IT experts and business owners, working closely with them to ensure a comprehensive understanding of the business processes, their business goals, and the underlying data
• solving different kinds of machine learning and data challenges using Python and SQL, enabling a correct visualization and analysis of internal processes in Celonis
• leading the project in the technical phase, covering project management tasks and presenting status updates to management

Skills and experience you will need

• fluent English (C1)
• university degree in the field of Computer Science, Information Systems Management, Business Informatics, Mathematics, Industrial Engineering, or a comparable education
• experience in one of the common programming languages e.g. Python, Java, C++ and familiar with database technologies like SQL
• experience with Process Mining tools (e.g. Celonis) or dashboard and analysis
• structured and independent customer-oriented approach to work
• the ability to convey complex contexts in a user-friendly manner

Nice to have

• good written and spoken German skills

What we offer

Let's be healthy
– medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced
– work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart
– we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible
– each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun
– company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse
– every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

City :
Warsaw - remote/hybrid
State :
Mazowieckie (PL-MZ)
Country :
Poland (PL)
Requisition Number :
47311

Overview:
This position will work to create end to end solutions, helping clients organize, structure and visualize their data in a way that delivers value and actionable insights.

Main Accountabilities:

• Create and maintain customized SQL queries to build reporting data structures.
• Build and maintain database models, including fine tuning and optimizing queries, data pipelines, and automation workflows.
• Validate data to determine and document any gaps between available data and requirements for reporting outputs, dashboards, modeling use cases, and downstream analysis.
• Operating within engineering best practices and following change release processes leveraging tools such as GitHub
• Contribute to project teams that are developing or modifying highly complex information solutions.

Education/Experience
:

• Bachelor's degree with 3 - 5 years of position related experience, or equivalent combo of education and experience level.
• Must have solid understanding of Agile methodologies & collaborate within an Scrum / Agile team
• Working with a leading analytics or relational database system, such as Oracle, BigQuery, PostgreSQL, Microsoft SQL Server, or MySQL
• Experience in scripting for automation (e.g. Python) and advanced PL-SQL programming as well as vibe coding with tools like VSC GitHub Copilot.
• Possess strong technical skills in database management systems and BI technologies such as Tableau, Tableau Pulse and Tableau Next.
• Developing and implementing data transformation via ETL processes and data pipelines, including experience in ETL software such as AecorSoft.
• Working within cloud-based data solutions

Ś1

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of :34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

• We Are One Team – Collaborative, Respectful, Inclusive
• We Lead The Way – Agile, Empowered, Innovative
• We Do What’s Right – Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge

As our new
Data Engineer,
you will join a collaborative and skilled organization working with data at scale to enable automation of real business cases through data-driven and Machine Learning-based intelligence.

We are hiring
two Data Engineers
for two closely collaborating teams with different focus areas:

• the Data Science team, working directly with forecasting, analytics, and ML-based decision support
• the Data Streaming Platform (DSP) team, a newly formed team building and operating a central platform for real-time and event-driven data across the organization

We work in a Scrum setup and have in recent years been very successful in forecasting both electricity prices and electricity consumption, while at the same time scaling our real-time data capabilities. Your work will have
direct and measurable impact
.

What will you do?

• Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python
• Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams
• Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink
• Ensure high data quality through validation, monitoring, and lineage
• Develop and improve data workflows, standards, and reliability in production systems

Dependent on your area of expertise and interest, you will work in either the Data Science- or Data Streaming Platform team

Data Science Team Focus

• Enable forecasting, analytics, and ML use cases with high-quality, well-modelled data
• Collaborate closely with Data Scientists, ML Engineers, and other engineering teams

DSP Team Focus

• Build Kafka based central streaming data platform from scratch to enable traders, analysts and asset managers to publish and consume live and historical data at scale.
• Operate and continuously enhance the components once the platform is in production.

Location
Katowice or remotely in Poland

Qualifications
Who are you?
Role
The focus varies depending on which role you are interested in. You don’t need check all the boxes, but generally you should be experienced in:

• Strong Python and SQL skills
• Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases
• Hands-on experience with streaming systems (Kafka, Spark or Flink)
• Familiarity with Airflow, CI/CD, DevOps practices
• Experience with Docker, Kubernetes, and Infrastructure-as-Code
• Understanding of data contracts, time-series data, and event-driven systems
• Fluency in English and interest in the energy domain

Why Join Us?

• The journey to make real-time data truly scalable in BA Markets starts now, Be part of it!
• Build data solutions powering real-time trading and forecasting
• Work with modern data technologies and real production systems
• Strong work-life balance and purpose-driven culture focused on a fossil-free future

Additional Information

Our offer
Good remuneration, a challenging and international work environment, and the possibility to work with some of the best in the field. You will be working in interdisciplinary teams and you can always count on support from committed colleagues. We offer attractive employment conditions and opportunities for personal and professional development.

More Information
We welcome your application in English. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website.

For more information about the recruitment process you are welcome to contact our recruiter Marta Jura via marta.jura@vattenfall.com.

At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation.

The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party, DISA Global Solutions AB.

We look forward to receiving your application!
Company Description
Vattenfall is a European energy company with approximately 21 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission.