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Data Engineer - ETL Pipelines & Data Warehousing
Data engineer who builds and maintains ETL/ELT pipelines and data warehouses, ensuring data quality and supporting analysts and business teams. Core stack is SQL and Python, with familiarity in Spark, Airflow, and cloud platforms like AWS, Azure, or GCP.
Data Engineer
Data Engineer who builds and maintains ETL/ELT pipelines and data warehouses, extracting, transforming, and loading data from multiple sources while ensuring data quality. Core stack is SQL and Python, with possible use of Apache Spark, Airflow, or cloud platforms like AWS, Azure, or GCP.
Cloud Software Engineer
Cloud/Systems Engineer on Creditsafe's Data Cloud team in Dublin (hybrid, 50% office attendance). Day to day: building and scaling a Python-based ELTL data warehouse and low-latency APIs on AWS — Lambda, ECS, Step Functions, SQS, S3, Redshift, Aurora, API Gateway — processing over a billion company data objects, with CI and shift-left testing.
Data engineer in energy
Описание: What makes a number trustworthy enough to drive decisions that matter? The Senior Data Engineer role in London sits at the intersection of enterprise data platforms and the energy sector, where the stakes for…
Data engineer
Senior Data Engineer at EPAM in Amsterdam (hybrid): designs and builds scalable data pipelines, ETL/ELT processes, and analytics on cloud data platforms, ensures data quality, and mentors junior engineers. Core stack spans AWS/Azure/SAP ecosystems — Databricks, Data Factory, Airflow, Glue, Kinesis, Redshift, Synapse, GitHub/Azure DevOps.
Remote Ai Data Engineer
About the Role Our client is seeking a highly skilled Remote AI Data Engineer to join their expanding team. This is a fully remote position, offering a flexible work arrangement. You will be responsible for designing,…
Senior Data Engineer (spark & Python Specialist)
An award-winning privacy-preserving data collaboration platform that enables companies to analyze and collaborate on consumer data to gain insights, build predictive models, and monetize data without sharing the raw…
Data Engineer
About the Role Our client, a rapidly expanding e-commerce platform, is seeking a talented and motivated Data Engineer to join their team in **Benoni, Gauteng**. This role is essential for building and maintaining the…
Senior Data Engineer
Senior Data Engineer at Westpac New Zealand in Auckland, spending ~60% of the time on hands-on data/platform engineering (Python, SQL, Snowflake), ~20% on AI, GitHub Copilot and developer enablement, and ~20% on technical leadership, standards and mentoring — designing scalable data services and AI-enabled solutions on cloud data platforms.
Data Engineer (Snowflake) (M/F) - Remoto
Ankix (Lisbon) is hiring a remote Data Engineer with 5+ years of experience to design and run data pipelines and models. Core stack: SQL, Python, Snowflake (required), AWS (required), dbt with orchestrators like Airflow/ADF/Dagster, Terraform, CI/CD and ETL/ELT, plus Kimball/Inmon/Data Vault modeling.
Senior Cloud & Data Platform Engineer (M/F) - Lisboa
Senior Cloud & Data Platform Engineer based in Lisboa: builds and operates cloud/data platforms for clients, working hands-on with Microsoft Azure, Azure Databricks, Astronomer/Apache Airflow, and infrastructure-as-code (Terraform/Bicep), plus Azure Monitor, cloud operations and cost optimization.
Principal Data Engineer
Principal Data Engineer at Ledgebrook, an insurance company, responsible for architecting and maintaining the data platform using Python, Airflow, dbt, Terraform, and Snowflake. Sets technical direction, establishes standards, and enables data-driven decisions across the organization.
Senior Data Scientist (m/f/d)
Senior Data Scientist builds and improves machine-learning models for real-time ad-tech systems, processing billions of requests using Python, Spark, and SQL.
BI-аналитик (риски, портфели, кредитование)
Единственный профильный BI-специалист для направления по рынку кредитования: строит датасеты, чарты и дашборды в Apache Superset (портфели, винтажи, риски, коллекшн), делает ad-hoc отчётность и B2C-аналитику, собирает требования у бизнес-заказчиков. Ядро работы — SQL и Superset, плюс Python-автоматизация.
Data Engineer (Python / Airflow / GCP)
Data Engineer building and maintaining production data pipelines with Python and Apache Airflow on Google Cloud Platform for a financial-services tech team in Santiago, Chile. Day-to-day work covers ETL/ELT ingestion, query optimization at high volume, monitoring, incident resolution, and documentation, in a hybrid on-site role.
Senior Data Engineer (Python, Airflow, GCP) | Hybrid
Senior Data Engineer designing and maintaining data pipelines on Google Cloud Platform for a regulated financial services environment, working hybrid from Santiago. Core stack is Python, SQL, and Airflow, with collaboration across analytics and business teams.
Remote Senior Data Engineer - GCP/BigQuery Pipelines
Senior Data Engineer at Ulvior designing and building production data pipelines on GCP and BigQuery, working with Cloud Storage and Airflow/Cloud Composer while optimizing table design, cost, and performance. Fully remote from Chile; requires 4+ years in data engineering, Python, and advanced SQL.
Senior Data Analyst, Client Reporting
Senior Data Analyst on Hello Heart's data team builds SQL queries and BI dashboards for client reporting, analyzing clinical outcomes, engagement, and ROI data for health plans and employers. Partners with Customer Success, Sales, and other GTM teams; core stack is SQL, BI tools (Looker/Tableau-type), and generative AI.
Data Science Team Lead
Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
Staff Data Platform Engineer
Staff engineer who owns CertifyOS's healthcare provider-data platform end to end: setting architecture, leading a team, and being accountable for data reliability, freshness, and cost. Day to day spans Python/PySpark pipelines (Kafka, Kinesis, SNS/SQS), Aurora PostgreSQL/Redshift/MongoDB, entity resolution/MDM, and data foundations for AI/ML workloads, plus on-call.