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Data Engineer (GCP, Azure)
Artefact is seeking a Data Engineer to build and maintain robust ETL pipelines using Python, SQL, Spark, and Kafka. The role involves integrating cloud services like GCP and Azure and collaborating with teams to deploy machine learning models.
Senior AI/ML Engineer
The Senior AI Engineer acts as a technical consultant and builder, designing and deploying end-to-end AI/ML and Generative AI solutions for global clients. The role involves bridging business strategy with technical execution using cloud-native infrastructure and modern MLOps practices.
Forward Deployed Engineer
Build and deploy production-grade data pipelines and LLM-based solutions for clients, using Python, SQL, dbt, Spark, Airflow, and frameworks like LangChain or LlamaIndex.
Technical Lead - Data Engineer (Data&AI)
Lead Data Engineer building scalable ETL/ELT pipelines and data solutions across Databricks, Snowflake, AWS, and Azure, with hands-on CI/CD, MLOps collaboration, and team leadership.
Data Analyst
The Data Analyst will work on developing data warehouses and BI solutions for an insurance industry partner. The role requires advanced SQL, SAS, and data modeling skills to translate business requirements into technical solutions.
Senior ETL Test Engineer
Senior hands-on ETL Test Engineer validating complex data pipelines, data warehouse solutions, and data migration processes using Python/PyTest automation, advanced Oracle SQL, MongoDB, and REST API testing tools.
Engineering Manager [DWH Data Tools]
We are looking for an experienced and driven Engineering Manager to manage our DWH Data Tools team . This team is responsible for managing and evolving our critical data ecosystem tools, including Superset, Jupyter…
Senior Backend JavaScript Developer
Develop and operate high-throughput distributed data pipelines and backend services using Node.js, AWS, and Kubernetes for a large-scale data platform.
(RD) Engineering Team Lead
Engineering Team Lead (ETL) The Job in Short The ETL is the "Captain" of a single squad. This is a "player-coach" role focused on delivery predictability, people leadership, and day-to-day execution.…
Data Engineer
Builds and maintains data pipelines, warehouses, and cloud-based data infrastructure to enable analytics and reporting for clients in professional services or finance.
Data Engineer
Designs and builds data pipelines, ETL workflows, and warehouses using SQL, SSIS, and SQL Server to feed BI and analytics systems.
Senior Data Scientist
The Senior Data Scientist will design and deploy scalable reporting solutions using Power BI, SQL, and cloud platforms like Snowflake and AWS. The role involves end-to-end data modeling, complex DAX development, and performance optimization to support business intelligence initiatives.
BI Data Engineer
Build and maintain the backend of a BI platform, designing scalable data models, ETL/ELT pipelines, and integrating data from ERP and external sources to enable reporting and analytics.
Production Support & Operations Engineer
Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program Minimum 5 years of experience in IT operations, application support (2nd/3rd line), or a…
Principal Software Developer (f/m/d) - Market Data
The Principal Software Developer will design and implement high-performance data processing pipelines and APIs for market data. The role involves working with Python, cloud-native technologies, and microservices to build scalable, resilient financial data infrastructure.
Data Architect / Teach Lead
The Data Architect / Tech Lead will design and execute enterprise data migration strategies and system transformations while leading technical teams. The role requires expertise in ERP models, data governance, and cloud-based ETL architectures.
Data Engineer
Builds and maintains data pipelines and infrastructure using SQL, Python, and cloud platforms, collaborating with analysts and engineers to ensure reliable data flow.
Data Engineer (Databricks)
Designs and builds scalable data pipelines on Databricks (Spark, Delta Lake, MLflow) to power analytics and ML, optimizing performance and cost across cloud platforms.