Data Engineer

Reply; Katowice; Hybrid; PLN 120,000 - 200,000; Full time

Benefits offered by this job

Benefits budget

Medical care

Meal tickets

Sports cards

Cinema tickets

Shop vouchers

Language courses

Training opportunities

Networking events

Job summary

Reply in Katowice, Poland, seeks an experienced Data Engineer to design and implement scalable data processing and integration pipelines. You will work on ETL, data modeling, and big data tooling to enable analytics and data-driven decisions.

This hybrid role requires strong English and Polish, knowledge of Java/Scala/Kotlin, AWS/Azure, SQL/NoSQL, and experience with Hadoop, Spark, Kafka, Flink, and Iceberg. You’ll collaborate with clients and internal teams on architecture and strategy.

Qualifications

• Bachelor's or Master's in CS/Engineering/IT.
• Proficient in English and Polish.
• Strong programming skills in Java, Scala or Kotlin.
• Experience with AWS or Azure.
• Knowledge of SQL and NoSQL databases.
• Experience with Hadoop, Spark, Kafka, Flink, Iceberg.
• Data modeling and warehousing familiarity.
• Strong analytical and communication skills.
• Willingness to work in hybrid mode with 2 in-office visits per month.

Responsibilities

• Design and implement scalable data processing systems.
• Develop and maintain ETL pipelines with focus on data quality.
• Monitor and optimize database and data applications.
• Advise clients on data strategies and architecture.
• Support analytics and BI initiatives.
• Collaborate with clients to translate requirements into data engineering solutions.

Skills

Analytical thinking

Communication skills

Problem solving

English proficiency

Polish proficiency

Team collaboration

Education

Bachelor's or Master's degree in CS/Engineering/IT

Tools

Docker

Kubernetes

CI/CD

DBT

Hadoop

Spark

Kafka

Flink

Apache Iceberg

SQL

NoSQL

Job description

• Data System Design: Design and implement robust, scalable data processing systems: this involves selecting appropriate storage technologies, designing schemas, and planning integration strategies.
• Data Integration and ETL Development: Develop and maintain pipelines for data transformation, integration, and ETL processes. Ensure data quality and accessibility
• Performance Optimization: Monitor, tune, and optimize data applications and database performance. Address any issues that may affect data processing speeds or analytics capabilities
• Consulting and Strategy: Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements
• Analytics and Business Intelligence Support: Assist in developing analytics platforms and business intelligence solutions, ensuring that data can be effectively transformed into actionable insights
• Client Interaction: Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions.
• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
• Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
• Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

Qualifications

• Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field.
• Very good knowledge of English and Polish.
• Programming Language: Strong programming skills in languages such as Java, Scala or Kotlin.
• Cloud: Experience with public cloud providers AWS/Azure
• Database Technologies: Knowledge of SQL and NoSQL databases.
• Expertise in Big Data Technologies: Familiarity with big data frameworks and tools like Apache Hadoop,
• Spark, Kafka, Flink or others, formats such as Apache Iceberg.
• Data Modeling and Warehousing: Familiarity with data modeling and warehousing techniques.
• Strong Analytical Skills: Ability to analyze complex data structures and derive insights to provide strategic guidance.
• Excellent Communication: Strong interpersonal and communication skills to effectively collaborate with team members and clients.
• Problem Solving: Strong problem-solving skills and the ability to propose creative, efficient solutions to complex problems.
• Plus: Any additional experience with Docker, Kubernetes, DevOps practices, CI/CD, DBT.
• Availability to work in a hybrid mode with at least 2 visits in the office per month.

Develop yourself and the digital future – at Reply!

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.