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Data Engineer (Redshift/Athena, Airflow/Dagster)
Teralco Group nace en 2002 y se convierte en CONVOTIS Iberia en 2024. Desde entonces, hemos estado comprometidos con ayudar a las empresas a mejorar su rendimiento y eficiencia a través del uso de tecnología innovadora…
Data Engineer (Spark, Airflow, Iceberg, AWS)
Teralco Group nace en 2002 y se convierte en CONVOTIS Iberia en 2024. Desde entonces, hemos estado comprometidos con ayudar a las empresas a mejorar su rendimiento y eficiencia a través del uso de tecnología innovadora…
Senior Data Engineer (Python, AWS, Airflow) – Hybrid/Remote
Client Server Limited is seeking a Senior Data Engineer to own the data infrastructure, including ingestion, orchestration and transformation. You will build scalable analytical models and help modernise legacy…
Senior Data Engineer
Senior Data Engineer placed by DFP Recruitment (apparently for a government agency, as Australian citizenship is required) to design, build and maintain AWS-based batch and event-driven data pipelines and data products supporting data science, ML and analytics. Core stack: Python, advanced SQL, S3/Glue/Lambda/Athena, Terraform/CloudFormation, Docker/ECS/EKS. Roles based in NSW/VIC.
Senior Data Engineer - Analytics
A Senior Data Engineer (Analytics) at Machinify turns messy healthcare operational data into trusted, governed analytics: building certified dbt/SQL dimensional models on Databricks, owning metric definitions in a semantic layer, and delivering Power BI dashboards and reports for business stakeholders. It's a modeling-and-measurement role with observability, orchestration, and heavy stakeholder co
Remote Senior Data Engineer
Fully remote Senior Data Engineer hired via placement agency Placements24 for a client data analytics firm: designing, building, and maintaining scalable data pipelines, ETL processes, and cloud data warehouses/lakes to support analytics and machine learning. Core stack spans SQL, Python/Scala/Java, big data tools (Spark, Kafka, Hadoop), and AWS/Azure/GCP.
Remote Lead Data Engineer (Big Data & AI Platforms)
Fully remote Lead Data Engineer role (posted via recruiter Placements24) at a leader in AI innovation: architecting and running big data/AI platforms, building scalable Spark/Kafka pipelines on cloud data services (AWS/Azure/GCP, Snowflake, BigQuery), and leading/mentoring a team of data engineers. Requires 8+ years in data engineering, 3+ in a senior/lead role.
Senior Data Engineer - Big Data Solutions
Fully remote Senior Data Engineer for a data analytics and insights company: design, build, and maintain scalable big data pipelines and ETL/ELT infrastructure using Spark, Kafka, and cloud platforms (AWS/Azure/GCP), plus data warehousing (Snowflake/Redshift/BigQuery) to power analytics and ML initiatives.
Data Engineer - AI & ML Pipelines
Data Engineer designing, building, and maintaining scalable ETL/ELT data pipelines and cloud data infrastructure (AWS, Azure, or GCP) to support a data analytics firm's AI and ML initiatives. Fully remote role across South Africa, focused on data quality, warehousing, and pipeline reliability for data science teams.
Data Engineer
Data Engineer at international IT services firm K-LAGAN (hybrid, Asturias, Spain), building and scaling cloud data platforms: designing batch/streaming ETL/ELT pipelines, modeling data in warehouses/lakehouses, and collaborating with Data Science and business teams. Core stack: Python, SQL, Spark/dbt, AWS/Azure/GCP, Snowflake/Databricks, Airflow.
About Amazon Data Engineer III, Data Engineering India
Amazon Inc. in Italy is seeking a Data Engineer-III to develop data solutions that enhance customer experience by improving discoverability and speed. You will collaborate with researchers, software engineers, and…
Senior Data Engineer
Kendago, a performance-marketing company that builds and scales consumer brands, is hiring a Senior Data Engineer in Kiryat Ono (hybrid, 2 WFH days/week) to build its next-generation data platform: designing Python/FastAPI services and large-scale data pipelines, integrating external data sources, and owning systems end to end from design through production monitoring.
Senior Marketing Operations Manager
About Ethos Ethos (Nasdaq: $LIFE) is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided…
Data 360 - Principal Forward Deployed Engineer- Italy
Principal Forward Deployed Engineer at Salesforce building Data 360 (Data Cloud) implementations directly inside enterprise customer environments: ingestion pipelines, harmonization, identity resolution, RAG/vector search, and MCP/agent integrations that ground Agentforce. Hands-on coding in SQL, Python, and Apex, based in Lombardia, Italy.
Data Engineer / Phyton
Altumware seeks a Data Engineer (hybrid in San Pedro, Mexico) to design data architectures and optimize data pipelines for data-driven decisions. Core stack: Python/Scala, SQL with relational and NoSQL databases, at least one cloud (AWS/GCP/Azure), orchestration with Airflow/Prefect/Dagster, and warehouses like Snowflake, BigQuery or Redshift.
Data Engineer
Data Engineer at Zurich Insurance building scalable ingestion/storage pipelines and reusable data assets into a cloud-based Lakehouse, while operationalizing agentic AI/ML models. Core stack is Azure (Databricks, Fabric, Data Factory, Cosmos DB, Azure ML) plus AWS, vector stores, Snowflake/Redshift, and ML/LLM tooling.
Data Engineer
Data Engineer at LaPieza, a Mexican SaaS provider of payroll and HR administration. Builds and maintains ETL/ELT pipelines and medallion-style data layers (raw, staging, marts) in Snowflake with dbt, Airbyte, and Airflow/Prefect, adding automated data-quality checks to feed internal BI teams and client-facing data products.
Senior Data Engineer - Recommendations
As a Senior Data Engineer on the Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems, including feature pipelines, streaming event ingestion, training datasets, and real-time feature serving, using Python, Spark, and cloud infrastructure.