Top Data Engineer Jobs in Poland

The Data Engineer will design and maintain effective databases and data processing pipelines. Responsibilities include performance tuning, resolving database issues, collaborating with developers, gathering user requirements, and supporting data management. The role also involves researching new database products and ensuring compliance with company performance standards.

As a Data Engineer at Tipico, you will be creating and maintaining data pipelines, working with AWS 'big data' technologies, and collaborating with stakeholders to gain insights into key business metrics. You should have 3 years of relevant work experience and be familiar with cloud data services, SQL, ELT development, and big data technologies.

The Customer Integration Engineer will transform customer data into standard formats, ensuring seamless integration into systems. Responsibilities include optimizing ETL pipelines, analyzing complex data structures, conducting data quality assessments, and collaborating with cross-functional teams to meet data requirements.

As a Data Engineer, you will design and implement data warehouse solutions, manage data ingestion and transformation processes, optimize SQL queries, and contribute to the technology choices and architecture for pricing and risk components in financial markets. You will collaborate with international teams to deliver high-quality software that meets customer requirements.

As an Expert ML Data Engineer, you will collect and manage datasets for ML model training, coordinate data collection, build dashboards for data monitoring, use machine learning methods, and develop high-quality software in Python within an Agile team.

The Middle Data Engineer will implement architectures on Azure cloud platforms, develop and maintain data architecture and pipelines, clarify technical requirements with clients, organize data sources into models, and evaluate new analytical tools while adhering to ETL and Data Lake principles.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

The Data Engineer will design, build, and maintain scalable data pipelines and architectures to support data-driven initiatives, ensuring data quality and integration from various source systems. Responsibilities include optimizing data architectures, implementing ETL processes, managing cloud infrastructure, and collaborating with cross-functional teams.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

The Data Developer at Sphera focuses on regulatory data and the business layer of large applications. Responsibilities include designing, developing, troubleshooting, and enhancing data product solutions while maintaining data updates through various programming methods.

As a Data Engineer, you will design and optimize data pipelines in an AWS environment using PySpark, ensuring data quality and working collaboratively with teams to meet business needs.

As a Data Engineer at ComeOn Group, you will design and maintain data pipelines for real-time and batch processing, ensuring data quality and consistency. You will resolve data issues, collaborate with teams, and work throughout the development process. Strong experience with AWS, GCP, and big data technologies like Spark is required.

The Senior Data Engineer will work with clients to analyze and migrate data systems to the cloud, define cloud data strategies, and deliver complete data solutions. Responsibilities include enhancing data quality and lineage, adopting AI/ML solutions, and implementing cloud-ready architectures while ensuring security and operational effectiveness.

The Senior Data Engineer will lead efforts in migrating databases to the cloud, define cloud data strategies, and enhance clients' data landscapes. Responsibilities include implementing end-to-end data solutions, improving data quality, and integrating AI/ML solutions into organizational workflows.

The Senior Data Engineer is responsible for migrating databases to the cloud, implementing cloud data strategies, delivering data solutions from concept to production, enhancing data quality, adopting AI/ML solutions, and contributing to technical advisory for data infrastructure.

The Senior Data Engineer will analyze existing systems for cloud migration, implement data strategies, deliver end-to-end data solutions, improve data quality and reliability, and assist organizations in adopting AI/ML solutions.

The Senior Data Engineer will collaborate with clients to migrate data systems to the cloud, define data strategies, enhance data quality, implement AI/ML solutions, and oversee the delivery of comprehensive data solutions including data lakes and ETL architectures.