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Senior Data Engineer building ETL/ELT pipelines and designing data models in an Azure/Power BI environment for an EV charging and energy grid software company, with a practical, hands-on approach and path to leadership.
Build scalable data pipelines connecting industrial plants to Azure and Databricks, enabling ML models and analytics for production, energy, and logistics efficiency.
Lead Data Engineer owning the Data & Analytics pillar, building a unified Snowflake-based data platform with dbt and ELT tooling for a global commercial insurance group in London.
Data Platform Engineer responsible for designing, building, and maintaining a modern Azure-based lakehouse platform (Delta Lake, medallion architecture) with ETL/ELT pipelines, while driving the transition to Microsoft Fabric.
Senior Data Engineer owning the EV charging data domain at SOURCE.ME, building ETL/ELT pipelines, designing data models, and integrating large datasets for invoicing, fraud detection, and reporting using Azure, Power BI, and .NET APIs.
Senior Data Engineer in Amsterdam focusing on designing and operating high-quality data pipelines on a Big Data Platform, collaborating with stakeholders, and championing data best practices. Core technologies include Python, PySpark, Airflow, Hadoop, Spark, Kafka, and SQL.
Design and build scalable Microsoft-based data pipelines and Power BI reports to enable data-driven decisions in a biotech company.
Data Engineer at an IT consultancy placed on varied client projects (mobility, energy, finance), handling data architecture, ETL/ELT, and real-time analytics using Python/Java/Scala/Rust, SQL, cloud platforms, and big data tools like Databricks and Snowflake.
Builds and maintains scalable ETL/ELT pipelines to transform raw data into actionable insights for analytics and business teams, focusing on SQL optimization, data quality, and cloud-based data infrastructure.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a performance-marketing agency, ensuring reliability, cost-efficiency, and integration with AI tools like LLMs.
Designs, builds, and maintains scalable data pipelines to transform raw data into actionable insights for analytics and business teams using Python and SQL.
Build and maintain scalable ELT data pipelines using Python, PySpark, Airflow, Hadoop, and Spark for a Big Data Platform.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
An 18-month contract Azure Data Engineer based on-site in Singapore, designing and maintaining scalable data pipelines on Azure (Data Factory, Synapse, Databricks), implementing ETL processes, and collaborating with business and analytics teams.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
The Data & AI Platform Engineer will design and develop modern data platforms, pipelines, and analytics architectures for the Swiss healthcare sector. The role involves managing data governance, integrating diverse data sources, and collaborating with AI and application teams to build robust data-driven solutions.
Designs and builds secure, scalable cloud-native data pipelines and lakes on Azure to power analytics and ML, bridging engineering and data science in a global team.
Design, build, and operationalize scalable data processing systems on Google Cloud Platform, turning raw data into actionable insights using Python/Scala/Java, BigQuery, and ELT approaches.
Azure Data Engineer bridging Data Science and Engineering in a BI-focused team, building data lake pipelines for analytics and ML using Azure, SQL, Spark/Databricks, and ETL/ELT tools.
Azure Data Engineer bridging Data Science and Data Engineering, responsible for data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML workloads in cloud-native Azure environments.
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