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Globe Telecom is hiring a Big Data Solutions Architect to design and implement on-premise and cloud big data platforms, producing HLD/LLD designs and guiding engineering teams. Core technologies include cloud platforms (AWS, GCP, Azure), Databricks/Snowflake, Python, Spark, dbt, and SQL.
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to…
NTT DATA Europe & Latam busca un Tech Lead / Expert Data Engineer con experiencia en soluciones de datos en la nube para un cliente del sector logístico. Liderarás un equipo, definirás estándares y garantizarás…
Remote (Brazil-based) Sr. Data Scientist consulting role supporting a major U.S. e-commerce retailer: building and deploying statistical/ML solutions end-to-end, from data exploration and feature engineering to modeling, A/B testing, and production deployment. Core stack is Python (pandas, scikit-learn) and SQL, with cloud/MLOps and modern data stack tools as pluses.
At Curana Health, we're on a mission to radically improve the health, happiness, and dignity of older adults—and we're looking for passionate people to help us do it. As a national leader in value-based care,…
Lead Analytics Engineer at Cartology, Woolworths Group's retail media business, owning the semantic and BI layer of the data platform. Day to day: build a single source of truth with Looker (LookML), dbt, BigQuery, and Airflow, mentor engineers, shape platform architecture, and drive data governance and AI readiness.
A 12-month hybrid contract role in Toronto building a governed semantic layer in GCP BigQuery for consolidated advertising revenue reporting. Day to day: developing SQL transformations, maintaining Strategy (formerly MicroStrategy) semantic models, and aligning Finance, Sales, and Executive stakeholders on KPI definitions.
Data engineer at Snoonu in Al Wakrah, Qatar, running day-to-day ETL, integrating new data sources, and extending batch and real-time streaming pipelines with infrastructure-as-code. Core stack: Python, SQL, dbt, Airflow, Databricks, PySpark, GCP, AWS, and BigQuery.
Senior Data Engineer based in Brazil who designs, builds, and maintains scalable data pipelines using Databricks, PySpark, Delta Lake, Python, and SQL, applying Medallion architecture and DataOps practices while collaborating with business, analytics, and platform teams to deliver reliable, well-governed data products.
Data Architect at InfoCentric, an Australian data consultancy, designing scalable enterprise data platforms on Azure, Databricks and Snowflake. Day to day they define data architecture, modelling, governance and integration standards and support data and AI use cases with Python and Azure AI tooling.
Builds and maintains a global financial data platform for securities, processing real-time market data with AI/ML pipelines using Kafka, Spark, and Iceberg.
Data Reliability Engineer at Toss Securities (Seoul) who owns the full lifecycle of financial data — disclosures, earnings, market prices, news — designing and running ingestion/validation pipelines and a data-quality platform with data contracts and lineage tracking. Core stack: Python, SQL, Airflow, Kubernetes, and distributed query engines like Spark, Impala, and ClickHouse, with LLM-based auto
A Senior Data Engineer will design, build, and operate production batch and real-time data pipelines on GCP (BigQuery, Airflow/Cloud Composer, GCS) using Python, SQL, Kafka, and dbt for a global FTSE 100 fintech, supporting analytics, compliance, and AI/ML use cases.
Xebia Group is hiring a Senior Data Engineer in Poland to build scalable Lakehouse data solutions on GCP: implementing and optimizing dbt transformations, scheduling pipelines with Airflow, and managing infrastructure as code with Terraform. Day-to-day includes BigQuery cost optimization and applying medallion architecture, IAM, DLP, and CI/CD practices.
AIDA Recruitment is hiring a Data Engineer for a client's team in Wrocław to design and maintain scalable ETL pipelines, optimize data storage, and support ML workflows. Core stack: SQL, Python, MySQL/PostgreSQL/MSSQL, Airflow/dbt/Apache NiFi, and BI dashboards (Tableau/Power BI/Looker).
Design and implement a GCP data ecosystem (data lakes and warehouses) for a client as a data engineer, gathering requirements, modeling data, and working directly with stakeholders. The core stack is BigQuery/SQL, Python, Airflow, and modern tooling like DBT/Dataform, with collaboration across multinational teams.
Senior Data Engineer on the Reinsurance Technology team in Warsaw, migrating data and risk-modeling processes from on-premises RiskLink to Moody's cloud Risk Modeler. Day to day: building data pipelines, API integrations, and exposure/loss data solutions with Python, SQL, Azure/GCP, Snowflake, dbt, and orchestration tools.
Data Engineer joining a team that migrates a data quality monitoring solution from a legacy platform to GCP using BigQuery and dbt Core. Day to day: designing data pipelines and ETL/ELT processes, implementing data quality metrics in dbt Core, and building repositories to store and monitor check results.
Cloud Data Engineer who designs and builds scalable ETL/ELT pipelines and data platforms on Snowflake and/or Databricks, orchestrating workflows with Airflow in AWS, Azure, or GCP. Day-to-day involves SQL/Python transformation work, query performance tuning, and supporting analytics and BI teams. This is a remote position based in Poland.
Arche Solutions is hiring a Data Engineer to migrate a data quality monitoring solution to GCP. Day to day they design and maintain data pipelines and ETL/ELT, implement Data Quality mechanisms in dbt Core with BigQuery, prepare mappings between solutions, and run data migrations in close collaboration with an interdisciplinary team.
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