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Data Engineer building and maintaining data infrastructure, pipelines, and storage solutions (data lakes/warehouses) using Python, PySpark, SQL, and Power BI to power analytics and BI for a vacuum valve manufacturer.
This role is for a mid-level Data Engineer to design and optimize cloud-based data pipelines and warehouses on AWS while acting as a consultant to support presales and customer delivery. The position requires a blend of hands-on technical expertise in SQL, Python, and AWS services with strong communication skills to translate business challenges into scalable technical solutions.
The Data Engineer will design and implement robust data pipelines using Azure cloud services, Python, and PySpark to ensure seamless data flow and high-quality analytics. The role involves collaborating with stakeholders to optimize data ingestion and transformation processes across various enterprise systems.
Lead AI & Data Analytics Engineer building AI-enabled analytics products for federal acquisition modernization using Palantir Foundry, Microsoft Power Platform, Databricks, SQL, and Python.
Builds and maintains data pipelines and products in a hybrid cloud environment (AWS/GCP) to power analytics across The New York Times, using Python, SQL, PySpark, and dbt.
We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable…
As tuas responsabilidades Enquanto Consultant na #teamlidl, és o guardião do selo de qualidade: garantes que o negócio flui sem 'quebras' e que a produtividade é o artigo mais fresco do nosso sortido! Atuarás…
Lead AI/ML initiatives at a software supply chain security company, building models for malicious behavior and anomaly detection as well as GenAI experiences using LLMs, RAG, and agentic systems, primarily with Python, Databricks, and LLM APIs.
Data Scientist applying ML to marketing problems (MMM, forecasting, attribution) at a media advisory firm in Barcelona. Day to day involves building models in Python, writing SQL, managing ELT pipelines, and presenting findings to clients.
Atmira is seeking a Data Engineer to build and maintain data pipelines using AWS, S3, Redshift, PySpark, and Talend. The role involves collaborating with architecture and business teams in a hybrid work environment.
Senior Data Engineer building AWS cloud data platforms with Spark, PySpark, and Python, focused on data ingestion, batch/streaming processing, and pipeline management using Git.
The Senior Data Engineer will design and manage ETL/ELT pipelines for large-scale data processing using AWS, PySpark, Spark Streaming, and Kafka. This is a 100% remote role based in Spain focusing on Big Data solutions.
Data Engineer processing large data volumes using PySpark, Spark Streaming, Kafka, and AWS within an agile, multidisciplinary team focused on data solution optimization and maintenance.
The Senior Data Engineer will design and optimize large-scale batch and near-real-time data pipelines using Spark, Scala, and AWS. The role involves ensuring data quality and governance while collaborating with cross-functional teams in a fintech environment.
Data Engineer designing and implementing Microsoft Fabric Medallion architectures and data pipelines (ingestion, cleaning, transformation) in a logistics environment using Spark, Python/PySpark, and SQL.
The Data Engineer will develop and maintain ETL/ELT pipelines, manage data in Amazon S3 and Redshift, and implement business logic using Python, SQL, and various data integration tools. The role involves working within an agile team to support data infrastructure, code quality, and system deployments.
The Data Engineer will design and implement Medallion architecture and develop data pipelines for ingestion, cleaning, and transformation using Microsoft Fabric for a logistics client.
Build and optimize clinical data pipelines using SQL, Databricks, PySpark, and AWS/Redshift to support clinical research and medical device studies at a diabetes-focused medical device company.
The Senior Data Engineer will design and optimize scalable data pipelines to support analytics, machine learning, and reporting within a cloud environment. The role focuses on building production-grade data solutions using Spark-based technologies.
Design and optimize scalable data pipelines integrating diverse data sources for clinical research and real-world evidence, collaborating with Clinical Research, Biostatistics, R&D, and Software Engineering using SQL, Databricks, PySpark, and AWS Redshift.
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