Data Analyst (Python / SQL / Azure Databricks) @ Antal v Polsko, Česko

Job offer Job Description We are looking for a Cost Accountant Analyst based in Mikulov, Czechia (full onsite role). Key responsibilities of the role: Product Costing · Prepare and analyze product and manufacturing costs. · Maintain and improve standard costing processes. · Perform annual standard cost roll activities. ...

For our client, a leading global technology company, we are looking for a Sales Support Analyst to help sales teams across the EMEA region manage quoting processes and resolve system-related issues. This opportunity is ideal for candidates who enjoy analytical work, have a strong attention to detail, and are interested ...

... analizy ryzyka w czasie rzeczywistym i wspiera organizacje w skuteczniejszej ochronie klientów przed oszustwami, - wykorzystywany stos technologiczny w projekcie: Python, AWS, Amazon Kinesis, AWS Fargate, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn, SQL, NumPy, Pandas, Docker, GitHub, CI/CD, - projektowanie, rozwój oraz ...

... with Python and the Django framework Skills in designing and developing scalable backend services, RESTful APIs, and web applications Background in relational databases and SQL (PostgreSQL, MySQL, or equivalent), including schema design, transactions, and query optimization Strong understanding of object-oriented design ...

... OpenAI and OpenAI APIs. Ideally, you have already built and operated a production-ready solution using these technologies. - Practical experience with relational databases such as PostgreSQL, in-memory databases such as Redis, and document or search databases such as Elasticsearch and MongoDB. - Proven experience designing, ...

... insights to traders and analysts - Contribute to the architecture and development of the team’s data science platform - Collaborate with data engineers and IT on data infrastructure and pipelines Tech Stack/Tools You Will Work With: - Python (pandas, numpy, scikit-learn or similar) - SQL - Streamlit and Power BI for data visualization ...

... Azure). - Knowledge of multi-agent systems, LLM-based tooling, or prompt engineering. - Previous experience in cybersecurity, threat detection, or high-volume data processing. Technologies Python, FastAPI, Celery, Kafka, MongoDB, Redis, gRPC, Envoy, Hadoop, Spark, Impala, Azure, Docker, Kubernetes, Helm, Kubeflow, Argo, ...

... Bring - 3+ years of experience in data engineering, search engineering, or a related field - Experience building and maintaining ETL pipelines and working with data warehouses - Familiarity with semantic search concepts and embedding-based retrieval - Proficiency in Python and SQL - Experience with document processing, text ...

... for continuous improvement and promote MDM/PIM best practices. Required Skills - Experience with STIBO STEP or Collibra - Previous experience as a Business Analyst in MDM, PIM, Data Governance, or Data Management projects. - Experience gathering and documenting business requirements and translating them into functional ...

... Grafana, JFrog, Salt, Chef). - Knowledge of event-driven architecture and cloud-native environments . - Additional experience with AWS cloud platform, React , and SQL/NoSQL databases is a plus. - Ideally, experience in digital product development and agile methodologies. In return, we offer - Contract for unlimited period - ...

... to success - Strong experience with Databricks, Apache Spark and Delta Lake - Advanced SQL for analytical querying, optimization and data modelling - Strong Python development skills (testing, version control, engineering best practices) - Proven track record building and operating ETL/ELT pipelines from APIs , databases ...

... SQL for data profiling, transformation, and validation, combined with hands-on experience using ETL/Migration platforms (DSP, SAP BODS, or similar enterprise data migration tooling). - Core EAM Master Data Knowledge: Expert understanding of Asset Master Data, Maintenance Master Data, Work Management structures, and Inventory/Materials ...

... and implementation partners to support platform evolution and technology adoption. Experience & Qualifications - Proven track record designing enterprise-scale data architectures and cloud-native data platforms. - Deep expertise in data modeling, integration patterns, modern data platform architectures, and data governance ...

... collaboration - Experience working in regulated environments, ideally within insurance, reinsurance, finance, or similarly complex industries - Knowledge of SAP data flows (e.g. SAP FS‑RI / RI, FI, claims), modern data platforms (MS SQL, Databricks, Fabric), data governance or catalog tools (such as Dawiso, Collibra, or Alation), ...

... 3+ years of experience in Data Engineering, Data Analytics, or similar technical roles - Experience with ERP systems (SAP is a plus) - Strong understanding of data modeling, databases, APIs, and system integration - Advanced Power BI and Excel skills - Understanding of data governance and data quality management - Exposure ...

... IT, the Data Governance Lead drives data ownership, quality and adoption across the organisation. In line with The Skanska Way, this role helps turn trusted data into smarter decisions and better outcomes for our business and society. Key Responsibilities: Data Governance & Strategy - Develop and execute the Data Governance ...

... experiments, guilds cooperation across the teams etc. Your day-to-day job will include: - Using mostly Python and Azure cloud ecosystem - Working with telco big data - Cracking challenging problems of how to develop, productionalize and deploy ML/AI models over messy telco big data - Providing expert assistance to business ...

... products and pipelines - Use primarily Python and libraries for Machine Learning (e.g., TensorFlow, PyTorch, Sklearn etc.) in Azure - Process big volume of telco data using (py)Spark in Azure - Cracking challenging problems of how to develop, productionalize and deploy models over messy telco big data - Collaborate with other ...

... needs into clear user stories, acceptance criteria, process maps, and functional specifications. - Enterprise Data Analysis: Collaborate with data SMEs to define data flows, lineage, master data, mapping, migration, and reporting requirements. Support data catalogue management and impact assessments for data warehouses. - Delivery ...

... focus will be on hands-on engineering: building, integrating, and iterating. - Specifically, you will develop AI agents and RAG systems on top of our enterprise data platforms (Snowflake, Google Cloud Platform, and any approved regional platforms required for your geography). You will write Python and SQL to build data pipelines, ...