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The Data Engineer will join a multidisciplinary team for a retail client to design, develop, and model data solutions while focusing on cost optimization. The role involves maintaining operational systems, managing incidents, and deploying infrastructure using GCP, Terraform, and Python.
The Data Engineer will build and manage data pipelines using Python, SQL, and Apache Airflow within an AWS environment. The role requires professional fluency in Spanish and English and experience with AWS data services and containerization.
BI Developer/Data Engineer building scalable data platforms, ETL pipelines, and analytical data models using SQL, PostgreSQL, Python, and Airflow for a custom software company.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
The Data Engineer will build and maintain data platforms using Python, SQL, and cloud services like AWS or GCP. The role focuses on driving innovation and creating exceptional user experiences within a collaborative environment.
Analytics Engineer building data models with dbt, writing SQL, and working with BigQuery and Looker to support analytics at a payments company.
Salary: £59,000 - 99,000 per year Requirements: 3 years building production backend systems Experience with cloud platforms, particularly AWS Python Ruby on Rails Kubernetes and Helm Charts IaC (Pulumi, Terraform)…
Data Engineer building and maintaining ETL pipelines, data marts, and semantic layers for a Customer Data Platform using SQL, cloud platforms (Azure/AWS/GCP), Airflow, dbt, and BI tools like Power BI and Tableau.
Build and maintain Python-based data applications and ETL workflows for a healthcare-focused data intelligence platform, integrating systems like Snowflake and Airflow.
Data Engineer/Analyst designing, developing, and maintaining finance domain data products at Volvo Cars using Snowflake, SQL, Python, dbt, and Airflow on Azure.
The Big Data Engineer will design and build scalable data pipelines and streaming solutions using PySpark, Scala, and various big data technologies. The role focuses on optimizing distributed data platforms and processing large-scale datasets within an enterprise environment.
Ayesa Digital is seeking a Data Engineer to design and operate large-scale data pipelines and distributed architectures using the Cloudera CDP platform. The role involves working with technologies like Spark, Kafka, and Airflow in a hybrid work environment.
Data Engineer building and evolving data platforms, ETL/ELT pipelines, and Lakehouse architectures using Databricks, PySpark, and Cloud technologies on large-scale projects.
Data Engineer designing and maintaining data pipelines in a hybrid Madrid role, focused on ETL/ELT, data modeling, and analytical solutions, with preferred skills in Data Lakes, Airflow, Kubernetes, and ClickHouse.
Data Engineer / Big Data Engineer for a banking-sector project, building and maintaining data pipelines using Python, Scala, Spark, Airflow, and Kubernetes in a hybrid setup in Madrid.
Data Engineer at TCS Madrid designing and maintaining scalable data pipelines using Python, SQL, and Snowflake, with additional experience in Spark, Kafka, Databricks, and Airflow.
Мы ищем DevOps/SRE Engineer . На этой позиции вы будете отвечать за администрирование облачных платформ, автоматизацию CI/CD, Infrastructure as Code, контейнеризированные среды. Важной частью роли станет обеспечение…
This role combines investment back-office operations with data engineering to automate portfolio reconciliation, PnL validation, and trade processing. The engineer will build parsers and data pipelines using Python, SQL, and cloud platforms to eliminate manual tasks and support investment decision-making.
The Founding Senior Data Scientist will build and deploy machine learning models for banking products while establishing the company's ML infrastructure, evaluation frameworks, and production standards. The role requires a hybrid practitioner comfortable with both model development and the underlying systems architecture using tools like Python, Snowflake, and Kubernetes.
A Staff Data Warehouse Engineer at BILL designs and delivers end-to-end data pipelines and warehouse architecture, ensuring data quality and governance, and mentoring engineers to build the trusted data backbone powering business decisions across Finance, Product, and Go-to-Market teams, working with modern lakehouse platforms like Snowflake and using tools like dbt and Airflow.
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