Trainee Data Engineer/Data Analyst @ Innowise

Location: Warsaw Key Requirements: English proficiency: B1 or higher Programming knowledge: Go or any other programming language Database experience: PostgreSQL, MySQL, MongoDB, or similar Understanding of core concepts: REST, HTTP, client-server architecture Basic knowledge of algorithms, data structures, and Git Bonus skills: Experience with Docker...

Requirements: Understanding of SOLID principles and OOP Knowledge and application of design patterns Understanding of asynchronous programming principles in C# and practical experience Experience with ASP.NET Core Web API Experience with Entity Framework Experience with SQL Conversational English at B1+ level Would be a plus: Experience working with...

What we expect 5+ years of professional experience as a Data Engineer or Software Engineer in data-intensive environments Strong Python development skills, with solid understanding of OOP, modular design, and testing (unit/integration) Experience with PySpark and distributed data processing frameworks Hands-on experience with Azure Data ecosystem,...

WHO YOU ARE: Required: Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field Proven experience in data visualization tools, specifically with Tableau, QV and Power BI. Strong analytical skills with a solid understanding of data analysis and interpretation. Strong skills in SQL and scripting Familiarity with ETL...

3+ years of Python development experience, including Pandas 5+ years writing complex SQL queries with RDBMSes. 5+ years of Experience with developing and deploying ETL pipelines using Airflow, Prefect, or similar tools. Experience with cloud-based data warehouses in environments such as RDS, Redshift, or Snowflake. Experience with data warehouse design:...

Tech Stack Programming: Python, PySpark, SQL, SparkSQL, Bash Azure: Databricks, Data Factory, Delta Lake, Data Vault 2.0 CI/CD: Azure DevOps, GitHub, Jenkins Orchestration: Airflow, Azure Data Factory Databases: SQL Server, Oracle, PostgreSQL, Vertica Cloud: Azure (expert), AWS (intermediate) Tools: FastAPI, REST APIs, Docker, Unity Catalog Preferred...

WHO YOU ARE: Required: Cloud & Container Technologies: Strong understanding of cloud platforms (AWS+GCP), Kubernetes, containerization, Linux fundamentals, networking, and related technologies Reliability & Scalability: Strong understanding of distributed systems, system design, error budgets, capacity planning and other patterns that ensure resilient,...

Bachelor’s degree in Computer Science, Information Systems, or a related field. Master’s degree preferred. Proven experience in data modeling and data warehousing, with at least 2 years of experience in a similar role, preferably within the insurance industry. Strong understanding of data modeling techniques, including normalization, denormalization,...

What you will need:  3+ years of experience in Azure; Hands-on knowledge of the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer); Experience with analytics, databases, data systems and working directly with clients; Good knowledge of SQL or Python; Azure...

Your skills and experiences: -> 6+ years of experience with SQL, PySpark, Python; -> Framework knowledge: Apache Airflow, AWS Glue, Kafka, Redshift; -> Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD; -> Proven ownership of mission-critical data products (batch + streaming); -> Data modeling, schema evolution,...