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.
Educational Background: Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
Very good knowledge of English and Polish.
Programming Language: Strong programming skills in languages such as Python, Java or Scala.
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 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.
Nice to have experience with Databricks, DBT.
Availability to work in a hybrid mode with at least 2 visits to the office per month.
... Science, Software Engineering, Data Engineering, or a related field - At least 2 years of professional experience in software engineering, backend development, or data engineering - Hands-on experience with Python development - Experience building or maintaining APIs and microservices - Experience working with AWS cloud services ...
Warszawa, Polska
Zobacz ofertę
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ OD...
... engineering processes, Participate in an on-call rotation when required (up to 12 days per year) Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field, At least 5 years of professional experience in software engineering, data engineering, or backend development, Strong ...
Warszawa, Polska
Zobacz ofertę
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ OD...
Senior Cloud Data Engineer Miejsce pracy: Warszawa Technologies we use Expected - Python - AWS - ETL - MySQL - Terraform - Microservices About the project Join our European Data & Analytics HUB! – we are growing! This strategic initiative is created to enable the change of Volkswagen Financial Services (VWFS) to a data-driven ...
... wider team on data modelling techniques and frameworks, e.g., Kimball Dimensional modelling, - Developing data standards and policies specifically around Master Data Management and Data Quality. Apply if you have: - Minimum of 5 years in cloud data modelling and data engineering roles, although this can be considered alongside ...
... for application risk management., Strong expertise in Azure and Google Cloud Platform (GCP) security features and tools (e.g., Azure Security Center, Google Cloud Security Command Center)., Strong understanding of security threats and attack techniques relevant to containerized and cloud-native environments., Proficiency ...