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GCP Data Engineer/Data Architect
The Data Architect designs and builds large-scale batch and real-time data pipelines on the Google Cloud Platform. The role involves managing data processing systems, ensuring security and scalability, and collaborating with business partners to drive data-driven insights.
Data Engineer II
Designs and maintains corporate data platforms to enable customer insights using SQL and Python for high-quality, precise projects within deadlines.
C# / .NET Developer
We are seeking an experienced Software Engineer with strong expertise in C# and .NET to join our technology team. In this role, you will design and enhance data-intensive applications. You will work in close…
Staff Cloud Backend Engineer (Database)
Design and optimize high-performance SQL and NoSQL databases, including time-series and OLAP/OLTP systems, for a company building AI-enabled software-defined vehicles.
Analytics Engineer
Builds and maintains clean, trustworthy data models and dashboards for business users using SQL, dbt, Snowflake, and Looker.
Cloud Data Engineer: Trading Data Warehouse on GCP
The Cloud Data Engineer will develop and maintain a cloud-based data warehouse on Google Cloud Platform to support trading-related data needs within the Regulatory team. The role involves cross-functional collaboration on the full development lifecycle, including design, testing, and deployment.
Senior Cloud Data Engineer | SEB, Solna
The Senior Cloud Data Engineer will develop and maintain cloud-based data warehouse solutions for trading and regulatory use cases within a cross-functional team. The role focuses on building data pipelines and infrastructure primarily using Google Cloud Platform, SQL, and Python.
Senior Solution Engineer, Financial Services
Senior Solution Engineer at Snowflake demonstrates and sells AI-native data solutions to enterprises, bridging technical and business needs with hands-on SQL, Python, and cloud expertise.
Data DevOps Engineer (m/f/x)
Designs and maintains cloud-based data infrastructure (AWS) to ensure scalable, secure, and high-performing data solutions for data engineering, CRM, and data science teams, focusing on automation, observability, and reliability.
Data Warehouse Analyst / Power BI Report Builder
The Data Warehouse Analyst will design and optimize Power BI semantic models, dashboards, and reports using Snowflake as the primary data source. The role focuses on dimensional data modeling and building analytical reports.
Junior Data Engineer - Data Management AI & Analytics
Junior Data Engineer working on onboarding and transforming data in an Enterprise Data Lake, creating reporting models, and collaborating with IT teams using Microsoft Azure, PySpark, and Power BI.
Software QA Test Engineer/ ETL Tester
The Software QA Engineer/ETL Tester will perform manual and automated testing on data warehouse tables and views to ensure data integrity. This office-based role involves collaborating with data engineers and developers to validate source-to-target mappings and resolve defects.
Staff Data Engineer
Designs and maintains data infrastructure, pipelines, and AI evaluation systems for ServiceNow’s CRM AI products, focusing on data quality, transformation, and agentic workflow metrics.
Data Engineer
Build and maintain scalable data pipelines and warehouses to integrate diverse energy-sector data sources, enabling better business decisions for EDF’s transition to an electric Britain.
Data Engineer
Builds and owns scalable data pipelines integrating source systems with the data warehouse, ensuring reliable data processing for business decisions, reporting, and AI initiatives using Python, SQL, Airflow, and dbt.
Amazon Account Manager - Copenhagen / Hybrid
About Arara Arara is the fastest-growing Amazon consultancy in the Nordics. We work with ambitious brands to turn Amazon into a scalable and profitable growth channel. We are building a high-performance team, not a…
Senior Data Engineer
Senior Data Engineer designing and building scalable cloud-native data platforms, implementing near-real-time event-driven ingestion pipelines, and optimizing Spark/PySpark workflows with CI/CD best practices.