Remote Data Jobs • Europe

This role places you at a unique intersection of theoretical innovation and transformative application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning—it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings.

As a Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help Pennylane meet its high delivery standards. You will continue designing data platform, from data ingestion and validation to transport, storage, and exposure to consumers. You will collaborate with other data engineering teams, sharing technical knowledge and defining best practices.

We’re looking for a Senior Data Analyst to help us shape how we collect, analyze, and act on data across our AI-powered coding platform. You’ll build scalable data infrastructure, design high-quality data models, help evaluate our agents, and make sure decision-makers have the insights they need.

Work on a cloud-native analytical database system built for multimodal (often time-series) data. The system is built in Rust and makes extensive use of Apache Arrow and supports specialised queries to handle robotics-style multimodal logs. Design, implement and operate the core pieces that make sure this data-intensive system is highly scalable, reliable and observable.

As a Database Administrator, you will be responsible for designing, installing, configuring, upgrading, and maintaining databases to ensure their smooth operation, optimizing database performance, managing security, performing regular backups, and implementing high availability solutions. You will oversee SQL Server databases across multiple environments, ensuring scalability and efficiency. Automation is a key aspect of this role, requiring you to implement processes to streamline database maintenance.

We’re looking for a passionate Senior Analytics Engineer to help us bring our data platform to the next level. This includes modelling our data for final consumption and leading the design of a new semantic layer. Collaborate with engineers, product teams and analysts to develop data products that are precise and insightful. Find creative ways to integrate AI into the Data lifecycle. Own the data product lifecycle, including designing tracking plans, developing data models, ELT pipelines, and self-serve data products. Be the data steward, ensuring data quality and consistent metrics.

You will engage with stakeholders to translate business problems into technical solutions, design and test personalization solutions, create forecasting models using time series and machine learning, and solve complex optimization problems. You will stay updated on the latest research in personalization techniques and work closely with product managers, MLOps engineers, and software developers to deploy end-to-end solutions.

We are looking for a motivated junior-level data professional (Engineer, Analyst, or Scientist) to join our nearshore Devoteam team on a project with strong focus on SQL and Google Cloud Platform (GCP). This is a remote position, but candidates must be based in Portugal, as you’ll be integrated into one of our Devoteam teams operating from the country.

An experienced scientist is needed to join the Data Science/Machine Learning team, focusing primarily on the Hotels Auction platform. You will have the opportunity to apply your modeling and engineering skills to a number of different areas, but with a particular focus on predictive modeling and auction dynamics. You will deploy your solutions online and be able to observe the impact of your work through continuous testing and iteration.

As an Analytics Engineer, you will be joining JobTeaser’s Analytics team, and will report to the Lead Data person. You will build data models by collecting needs for data transformations, defining sources of truth for metrics and dimensions, implementing data models in dbt. You will also govern the data model, keeping overall consistency, defining policies and standards for data management, and ensuring data quality and reliability.