Senior Data Engineer with Databricks @

YOUR PROFILEYou have hands-on experience in data engineering and are comfortable working independently on moderately complex tasks.You've worked with Databricks and PySpark in real-world projects.You're proficient in Python for data transformation and automation.You've used at least one cloud platform (AWS, Azure, or GCP) in a production environment.You...

Proven experience with Azure Databricks and Azure Data Factory (ADF). Strong skills in SQL and Python for data engineering. Experience in building pipelines and data models. Good English (minimum B2) to communicate in an international team. Experience with Agile methods and Azure DevOps. We are looking for skilled Data Engineers to join a team working on...

Minimum 4+ years of experience as a Data Engineer. Proven commercial experience with Databricks. Strong knowledge of AWS (nice to have). Proficiency in Python, PySpark, and SQL. Excellent command of English, both spoken and written. We are looking for a Senior Data Engineer to join one of our clients’ projects in an international environment. Our...

Key Requirements:5 years of experience as Data EngineerProven experience in Azure Databricks (data engineering, pipelines, performance tuning, Python)Azure DevOps (Repos, Pipelines, YAML)Azure Key VaultAzure Data Factory (optional)Good to have knowledge within Power BI.Strong analytical and problem-solving skillsExcellent communication and stakeholder...

​Proven commercial experience with Azure Databricks and Azure Data Factory (ADF). ​Strong proficiency in SQL and Python for data engineering. ​Hands-on experience in building data pipelines and data modeling. ​A good command of English (min. B2 level), enabling seamless communication within an international team. ​Experience with Agile...

What you’ll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems. Strong programming skills in Python: writing a clean code, OOP design. Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions. Experience in...

Requirements: Minimum 8 years of experience in Data Engineering At least 4 years of hands-on experience with Databricks, including services like data pipelines and Unity Catalog At least 2 years of experience working with Big Data technologies Proficiency in Python and SQL Solid background in data warehousing, ETL, distributed data processing, software...

Lead Data Architect SpecialistWe are seeking a Lead Data Architect Specialist to spearhead the development of high-performance data systems using Databricks.The ideal candidate will have a strong background in designing and implementing scalable data architectures, commercial experience with Databricks, and proficiency in Python, PySpark, and SQL.Key...

RequirementsStrong Python and SQL skills Proven experience delivering Databricks PySpark pipelines into production Solid hands-on experience with Databricks Experience with cloud platforms (Azure, AWS, or GCP) Comfortable working with large datasets and building robust data pipelines Clear communication skills – able to explain technical work...

YOUR PROFILE You have hands-on experience in data engineering and are comfortable working independently on moderately complex tasks. You’ve worked with Databricks and PySpark in real-world projects. You’re proficient in Python for data transformation and automation. You’ve used at least one cloud platform (AWS, Azure, or GCP) in a production...