Senior Data Engineering Expert

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 perkswork...

At least 6-7 years of experience in the listed technology stackGreat experience with SnowflakeExperience in DBTExperience with AWS (preffered) or AzureExperience in Fivetran (or a similar tool)Strong communication skillsFluent spoken and written EnglishWe are looking for someone who brings a positive attitude, a strong work ethic, and a commitment to...

Job Title: Senior DevOps ExpertThis is a key role in our technology services team, responsible for managing infrastructure, troubleshooting issues, and collaborating with cross-functional teams to deliver engineering services.Responsibilities:Manage infrastructure and ensure stability and reliability of event-driven hub productsTroubleshoot and resolve...

Minimum 5 years of overall IT experience and 2+ years in the field of software development with Big Data technologies, micro services design and development, event based architectures in cloudRequired Technology Skillset: Apache NiFi, Apache Kafka, Apache Spark, Apache Hive, Apache HDFS, Apache Oozie, SQL, Python, Google SDK, REST API, Linux Shell...

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...

Key Data RoleJob OverviewAs a senior data expert, you will play a pivotal role in the successful operation of our organization. You will work closely with cross-functional teams to deliver high-quality data insights and drive business decision-making.ResponsibilitiesDevelop and maintain clear semantics and metadata for data assets, ensuring that all data is...

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 an...

PhD or master's degree in computer science, Data Science, AI, or related field5+ years of professional experience in Data Engineering and Big DataProven experience in implementing and deploying solutions in AWS using AWS stack (Redshift, Kinesis, Athena)Proven experience with AWS Data Processing (Glue, EMR)Experience with Data Pipelines Orchestration...

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...

What We're Looking For6+ years of experience in data engineering/analytics engineering, including at least 2 years in a Data Architect role.Expert-level SQL skills.Advanced knowledge of Python, Spark, Databricks, Azure, dbt (and willingness to work with internal frameworks).Strong track record of designing and implementing data warehouses, ideally modern big...