Data Engineer

- 5+ years of industry experience in product-centric full stack engineering roles;- Very strong software engineering background with deep expertise in Python/Typescript.- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);Experience of working with Agents & LLMs:- LangGraph/LangChain (know its limitations & trade-offs);-...

What You Bring? We’re looking for experienced data engineers ready to take ownership and elevate enterprise-level data systems: 4+ years in data engineering and cloud data platforms Proven expertise with Snowflake, Python, and SQL Experience with data lakes, batch/stream processing, and cloud-native architectures Strong understanding of data...

2+ years of experience in data engineering Proficient in Python; knowledge of Scala is a plus. Experience with Databricks, Snowflake, or other modern data platforms. Strong command of SQL and familiarity with relational databases (PostgreSQL, MySQL, SQL Server). Exposure to one or more cloud platforms, ideally with services such as: AWS: Glue,...

Minimum 2 years of experience in SaaS deployment or data migration within cloud-based environments. Strong understanding of enterprise-level data and metadata structures, ideally within CRM platforms. Experience working on large-scale projects or within complex organizational settings. Advanced English communication skills, both written and spoken. Excellent...

Commercial experience 5+ years in data engineering. Strong programming skills in Python. Solid with distributed computing approaches, patterns, and technologies (PySpark). Experience working with any cloud platform (GCP, AWS, Azure) and its data-oriented components. Proficiency in SQL and query tuning. Understanding of data warehousing principles and...

Requirements: 5+ years of experience in Data Engineering 2+ years of hands-on experience with Databricks Strong skills in SQL, PySpark, and Python Solid background in data warehousing, ETL, distributed data processing, and data modeling Excellent analytical and problem-solving skills in big data environments Experience with structured, semi-structured, and...

min 5 yrs of relevant experience Solid experience with AWS services (S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch) Experience with platforms like Databricks, Dataiku Proficient in Python / Java, SQL – Redshift preferred, Jenkins, CloudFormation, Terraform, Git, Docker, 2-3 years of Spark – PySpark Good communication and SDLC...

Required Skills & Experience 5–8 years of hands-on experience in data engineering or similar roles. Strong knowledge of AWS services such as S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, and CloudWatch. Practical experience with Databricks or similar platforms (e.g., Dataiku). Proficiency in Python or Java, SQL (preferably Redshift), Jenkins,...

What do we need from you:  Strong expertise in MS SQL Server, including: Writing complex stored procedures, triggers, and functions Query tuning and performance optimization using tools like Execution Plans and SQL Profiler Hands-on experience with high-performance databases such as ClickHouse or similar solutions Deep understanding of OOP, Design...

Kogo szukamy? Masz już doświadczenie jako Data Engineer i chcesz dalej rozwijać się w tym kierunku Dobrze znasz technologie: Azure Data Lake Storage (ADLS), Azure Databricks (Python/PySpark, SQL), Azure Data Factory, Azure DevOps Potrafisz pracować w środowisku międzynarodowym – komunikacja w języku angielskim nie stanowi dla Ciebie problemu...