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Data Engineer (Snowflake/Azure) - Remote - catalunya
Design and build scalable cloud data pipelines in Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
Data Engineer – Migration - catalunya
Design and implement data pipelines and lead SAP migration projects using Python, PySpark, dbt, and cloud platforms like Azure or AWS.
Data Engineer (hands on)
Builds and maintains ETL/ELT pipelines to move marketing and CRM data into a SQL-based data warehouse, integrating GA4, Google Ads, Meta Ads, and HubSpot via REST APIs.
Senior Data Platform Engineer | AWS, Spark & DevOps - KRIMDA
Build and maintain next-gen data platforms on AWS using Spark, Python, and DevOps practices to design robust pipelines, optimize analytics architectures, and automate deployments.
Head of Data Platform Engineering (m/w/d)
Leads a team building and scaling the data platform that powers AI and data products, setting engineering standards, reviewing pipelines, and coaching engineers.
Senior Clinical Data Manager (External Data)
Job Title: Senior Clinical Data Manager (External Data) Job Location: Bangalore Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job Overview: Data Management leadership on studies and take…
Full-Stack Software Engineer, Compliance
Build and own the onboarding and compliance platform for a blockchain-based fintech: design KYC/KYB flows, integrate identity/sanctions providers, and ensure secure, auditable user eligibility across web and blockchain systems.
Senior Java Full Stack Engineer
Build and maintain high-scale backend systems in Java/Spring Boot that ingest, enrich, and serve billions of financial records for PitchBook’s data products.
Lead Java Full Stack Engineer
Lead a small team building and scaling Java-based backend services and data pipelines that ingest, enrich, and surface billions of financial records for PitchBook’s customer-facing products.
Analytics Engineer: Semantic Layer & AI Data Products
Builds a governed semantic layer in Snowflake with dbt to define trusted metrics and AI-ready data products for People Assets’ HR analytics platform.
DevOps Engineer (APS6) – Cloud Infra & Data Platform
DevOps Engineer managing cloud infrastructure, CI/CD pipelines, and data governance for a government agency ensuring secure, scalable data insights.
Data Platform Automation Engineer (Snowflake/Airflow)
Build and maintain automated data pipelines using Snowflake, Airflow, and AWS, ensuring reliable data ingestion, transformation, and quality across workflows.
Data Analytics Test Engineer: Quality, ETL & Automation
Designs and executes testing strategies for data pipelines and ETL/ELT processes to ensure accuracy and reliability of enterprise analytics at a fintech company.
Data And Analytics Engineer, Aps5/Aps6 (Ea2026/140)
Build data pipelines, dashboards, and automated reports using SQL, Python, Power BI, and Azure to support Australia’s Consumer Data Right initiative and improve data quality.
Data Analytics Test Engineer - Flexible Work & Impact
Builds and runs automated tests for data pipelines and ETL/ELT workflows on cloud platforms to ensure trusted analytics and insights.
Data And Analytics Engineer, Aps5/Aps6 (Ea2026/140)
Builds data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right initiative using SQL, Power BI, Python, and Azure Data Factory.
Data and Analytics Engineer, APS5/APS6 (EA2026/140)
Builds and maintains data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right (CDR) initiative using SQL, Power BI, Python, and Azure.
QA Engineer: Data Platform on Cloud & CI/CD
QA Engineer ensures data quality and reliability for a cloud-based data platform using BigQuery and CI/CD pipelines, collaborating with Data Engineers to design and automate tests.
Data Platform Engineer (AWS & Databricks)
Build and maintain scalable data pipelines on AWS and Databricks to deliver reliable data across the organization.
Data Analytics Test Engineer
Design and execute testing strategies for data pipelines and analytics solutions, validating ETL/ELT processes and cloud data flows to ensure data quality and reliability for trusted insights.