3,928 data complex jobs in Polska.

... to join a long-term enterprise IT programme supporting a major EU agency in Warsaw. You'll work at the intersection of business processes, enterprise systems, data and software delivery , partnering closely with stakeholders, product owners and a development team of 10+ engineers. - Location: Warsaw, Poland - Work model: ...

... engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans and Databricks MVPs. We look for engineers who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges for ...

... Lloyd's market knowledge being a strong plus - Knowledge of Insurance Industry - Ability to communicate confidently and effectively, including understanding complex problems and being able to explain them clearly to others - High attention to details, and hence rigorous and accurate work - Proactive approach to organisation ...

... pipelines, streaming/ingestion, queues, and real-time APIs. Strong grasp of concurrency, reliability, and performance trade-offs. Solid understanding of relational databases (PostgreSQL preferred) and data modeling for evolving real-world data. Comfort working across the entire SDLC: from problem framing to deploying and monitoring ...

... and operate scalable data platforms and pipelines supporting analytics and machine learning use cases. You will transform raw data into reliable, high-quality data products and contribute to architectural and platform-level decisions. - Design and implement batch and streaming data pipelines. - Integrate data from databases, ...

... department, supporting marketing campaigns and driving enhancements and maintenance for Adobe Campaign solutions. Responsibilities Design, build, and maintain data models using schemas and forms within Adobe Campaign Develop technical and functional workflows, campaign, delivery, and workflow templates Utilize SQL and JavaScript ...

... testing solutions. - Collaborate closely with Development, DevOps, and Product Management teams in a fast-paced Continuous Delivery environment. - Handle test data preparation, management, and automation for complex scenarios. - Analyze test results and manage defect reporting to maintain high-quality standards across all ...

- Minimum 5 years of experience working with relational databases, with PostgreSQL being the preferred database technology. - Minimum 4 years of experience using a procedural programming language, such as PL/SQL or PL/pgSQL. - Good knowledge of SQL. - Experience in developing and testing database solutions - Implementing ...

You are strategic, resilient, engaging with people and a natural self-starter. You have a passion for solving complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Manager, Data Analytics Consulting. EPAM Data Practice is looking for Manager, Data Analytics Consulting with a ...

... and technical stakeholders to translate complex regulatory requirements into scalable technical solutions. Requirements Must-have Strong hands-on experience in data analysis. Experience working with high-volume transactional data. Proven background in AML / Financial Crime projects. Practical experience with Transaction Monitoring ...

... have extensive experience in backend positions and be proficient in programming languages such as Java, Scala, and Python. Responsibilities include maintaining data pipelines, creating features, and collaborating with teams like Data Science and QA. The company promotes diversity and equal opportunity in the workplace.

... technical blockers. - Backlog & SDLC Tooling: Expert-level proficiency in Agile/Scrum methodologies and lifecycle management tools like Jira or Azure DevOps. - Data-Driven Optimization: Proven experience in product performance optimization, utilizing product experimentation and data-driven insights to measure success. 2. ...

... and experience you will need - fluency in English - strong background in financial projects - demonstrable experience of successfully delivering critical and complex IT system-related projects - proven experience in Agile and classical/waterfall software development and lifecycle methodologies (SCRUM, SAFEe, PMI PMBOK, PRINCE2) ...

... visualization toolsSupport and enhance business processes with custom analytics, KPI tracking, and actionable insights, all powered by SAP HANA backend solutionsOptimize data processing performance for large datasets and complex workflows, leveraging SAP HANA in-memory database capabilitiesContribute to cross-team projects by working ...

... principles, helping leaders balance immediate hiring needs with long-term capability development - Leverage talent intelligence, labor market insights, and workforce data to inform decision-making, talent planning, and investment priorities - Influence talent decisions through a skills-based lens, ensuring alignment between business ...

As a Data Science Engineer , you will develop data-driven solutions on AWS — combining data analysis, feature engineering, statistical thinking, and hands‑on data engineering. You will work closely with business, engineering, and platform teams to turn data into actionable insights and scalable analytical workflows. Responsibilities ...

... Engineering, or relevant job experience - Skilled in Python, SQL, PostgreSQL/PostGIS, including schema design and query optimization. - Hands-on experience with large, complex geospatial data sets (vector or raster) and geospatial processing - Solid understanding of geospatial data concepts. Experience with programmatic data processing ...

... issues. Analyse logs and monitoring data using Kibana, Grafana, or similar observability tools. Perform structured troubleshooting across application, networking, database, and integration layers. Use basic SQL queries to validate data, investigate incidents, and confirm system behaviour. Apply approved runbooks, knowledge articles, ...

... foundations: hypothesis testing, regression, experimental design, and knowing when a result is real versus noise Knowledge of at least one cloud/data platform and its data science components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks ...

... Ensure reliability, scalability, and performance of AI systems in production. Data Engineering Design and oversee scalable data pipelines and architectures. Lead data ingestion, preprocessing, and transformation across hybrid environments. Implement data quality, validation, and drift detection processes. Data Science Guide ...