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Senior Data Engineer
Build and maintain scalable data pipelines in Databricks/Snowflake, ingest external financial data, and enforce data quality and governance for a fintech platform.
Senior Data Engineer/ Data Engineering Lead (investment firm)
Lead the design and build of a risk/analytics data platform for an investment firm, owning pipelines, governance, and stakeholder alignment.
Senior Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks (PySpark, Delta Lake) in Azure, design Medallion architectures, and collaborate with data scientists and BI teams.
Cloud Data Engineer
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Azure Data Engineer
Build and optimize cloud-native data pipelines on Azure, migrating and transforming data for analytics and ML workloads using Spark, Databricks, and Azure Synapse.
Senior Data Engineer (f/m/d)
Build and maintain Azure Databricks pipelines and data models that power financial insights for global wind projects, collaborating with finance teams to deliver scalable data solutions.
GCP Data Engineer (m/k) - IT Contracting
Designs, builds, and scales GCP-based data pipelines and warehouses, implementing ETL/ELT, real-time streaming, and big-data architectures while collaborating with analytics and business teams.
Middle Data Engineer (Azure Databricks)
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Data Engineer / BI Developer
Builds and optimizes BI data models, ETL/ELT pipelines, and dashboards in Power BI/Qlik Sense to standardize reporting across European markets using SQL, Snowflake, ADF, and dbt.
Expert Data Engineer with GCP
Build and maintain scalable data pipelines on GCP using Python, Airflow, Spark, and BigQuery to power analytics and decision-making.
Senior AI Data Engineer
Senior AI Data Engineer builds and maintains scalable ELT pipelines and dbt models for Zendesk’s analytics platform, integrating AI tools to enhance data delivery and team productivity.
Data Engineer (Managed Data Service)
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Data Engineer
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
Data Engineer
Build and maintain a scalable datalake and canonical data model for SITA’s AI-powered airline operations platform, ingesting airline systems and ensuring reliable data for disruption recovery features.
Middle/Middle+ Data engineer (Сбер. Офис/гибрид)
Builds and maintains ETL/ELT pipelines and SQL analytics in Greenplum/PostgreSQL using Python for a large Russian IT integrator.
Data Platform Engineer: Innovate, Automate & Scale
Build and automate data pipelines for financial clients, migrating on-prem systems to cloud and implementing DevSecOps practices using Kafka, Spark, Kubernetes, and CI/CD tools.
Data Engineer
Build and scale data pipelines using Microsoft Fabric and Power BI to support reporting, analytics, and decision-making for a healthcare services company.
Data Engineer
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Data Engineer: Scalable Pipelines & Enterprise Models
Build and scale ETL/ELT pipelines and enterprise data models in Python to process large data volumes for a trusted tech partner.