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Joins the Orchestration team building a self-service data platform (ETL/ELT, metadata, governance, lineage) for a large North American retail e-commerce client, working with Python, SQL/BigQuery, GCP, Airflow, Kubernetes, Terraform, and Kafka. Based in Wrocław with production support and on-call duties.
Data engineer on Zoolatech's Orchestration Team building and maintaining self-service data platforms so engineers, data scientists, and analysts can run ETL/ELT workflows across sources like Kafka, S3, GCS, BigQuery, and Postgres. Focus on Python, SQL, Airflow, and Terraform in a cloud-first environment, plus metadata governance and data lineage.
Data platform engineer joining the Orchestration team of a large North American retail e-commerce company (Nordstrom), building and supporting self-service ETL/ELT orchestration platforms plus metadata, cataloging, and data-lineage governance. Core stack: Python, SQL/BigQuery, dbt, Airflow, Kubernetes, Kafka, and Terraform on GCP.
Senior Data Engineer at Zoolatech (services partner to a US construction-management software company) building scalable data ingestion and transformation pipelines on Databricks (Spark, Delta) with Airflow and AWS, powering analytics and customer-facing insights. Initial 6-month project with 4-5 hours overlap with US Central time.
Join an orchestration team building scalable, self-service data platforms that simplify ETL/ELT for engineers, data scientists, and analysts across sources like Kafka, S3, GCS, BigQuery, and Postgres. Day-to-day work centers on Python, Airflow, Kubernetes, Terraform, and cloud data services supporting Nordstrom's large retail ecosystem, based in Wrocław, Poland.
Builds and maintains a self-service data orchestration platform for a large North American e-commerce retailer (Nordstrom, via Zoolatech), abstracting ETL/ELT complexity for engineers, data scientists, and analysts. Core stack: Python, SQL/BigQuery, GCP, Terraform, Airflow, Kubernetes, and Kafka, plus metadata/data-governance capabilities and on-call support.
Zoolatech is hiring a Senior Data Engineer in Turkey for an initial 6-month engagement (extendable) with its partner, a construction-management software company. Day to day: building and owning scalable data ingestion and transformation pipelines on Databricks and AWS using Python, SQL, and Airflow, deployed as code via CI/CD.
Zoolatech is hiring a Senior Data Engineer in Turkey for an initial 6-month project (with extension potential) to build cloud-based data pipelines and lakehouse solutions for its construction platform, owning end-to-end ingestion, transformation, data quality, and CI/CD on AWS with GitHub.
North American fashion retailer is seeking a Mid-Level Software Engineer to design, develop, test, and deploy scalable backend applications in an Agile environment. You will collaborate with Product Managers,…
Zoolatech is hiring a Senior Fullstack Engineer in Jalisco, Mexico to build cloud-native logistics and inventory-control systems for a US retailer's tech team. Daily work involves Kubernetes containerization, real-time data streaming with Kafka, and monitoring with New Relic and Splunk.
Data engineer on Zoolatech's Orchestration Team, building and maintaining self-service ETL/ELT data platforms. Day to day: provisioning and orchestrating data pipelines with Terraform, Airflow, and Kubernetes across Kafka, S3, GCS, BigQuery, and Postgres to support analytics and ML workflows.
Middle Data Engineer working with Zoolatech for a large North American retail e-commerce partner (Nordstrom), building and supporting a self-service ETL/ELT orchestration platform. Day-to-day involves Python/SQL development on GCP (BigQuery), Airflow and Kubernetes pipelines, Kafka streaming, Terraform-based infrastructure, plus on-call production support.
Zoolatech is seeking an experienced Data Engineer to design and implement scalable data pipelines on an Azure-based PaaS platform. You will collaborate with product owners, architects, and business stakeholders to…
Senior AI engineer hired by Zoolatech for a global cybersecurity client: designs and ships production LLM systems — agentic workflows, RAG pipelines, and LLM-integrated apps for enterprise automation. Core stack: Python, LLM APIs, LangChain/LangGraph, cloud (AWS/Azure/GCP), Docker/Kubernetes.
Zoolatech is hiring a Senior Data Engineer for a global jewelry manufacturer migrating to Azure PaaS. Day to day you design and build scalable data pipelines and data models with Azure Synapse, Data Factory, Databricks and PySpark, while ensuring data quality, applying DevOps/CI-CD, and monitoring data product stability.
Zoolatech is hiring a Data Engineer to build and transform a global data platform, delivering scalable data products and robust pipelines while collaborating across product teams. Core stack is Azure cloud data services with strong Python and CI/CD. Role is based in Turkey.
Senior Data Engineer designing and maintaining scalable data pipelines and products on an Azure PaaS platform (Data Factory, Data Lake, Synapse, Databricks) for a global jewelry manufacturer client. Day to day: ingesting and transforming large datasets, enabling analytics and reporting, and applying DevOps/CI-CD practices from Wrocław, Poland.
Senior Data Engineer designing, building, and maintaining scalable data pipelines and data products on an Azure PaaS platform (Data Factory, Data Lake, Synapse, Databricks) for a global jewelry-manufacturing client, enabling analytics, reporting, and data-driven decisions. Requires 5+ years of data engineering experience with strong SQL.
Data Engineer working on a global data platform for a jewelry-manufacturing client of Zoolatech, migrating from Microsoft IaaS/QlikView to Azure PaaS. Day to day: designing and building scalable data pipelines and products using Azure (ADF, Synapse, Data Lake), Databricks, SQL, and Python with DevOps/CI-CD practices.
Zoolatech is hiring a Data Engineer in Wrocław to build and own scalable data products and pipelines on a global Azure data platform for its client, a global jewelry manufacturer moving from Microsoft/QV IaaS to Azure PaaS. Core stack: Azure (ADF, Synapse, Data Lake), Databricks, SQL, Python, and DevOps/CI-CD.