Collaborate closely with clients and cross-functional teams, acting as a trusted technical partner

A senior role with a package that reflects your expertise and ambition

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

Contribute to data projects within the Microsoft Fabric environment, supporting tasks from requirements analysis and architecture design to implementation

Take part in innovative data initiatives across sectors such as financial services, life sciences, and energy, as part of the LACO team

Plenty of freedom to take initiative and make your mark

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

Oversee and optimise Databricks environments and Azure data platforms, including CI/CD automation and cloud infrastructure best practices

Mentor medior and junior engineers, sharing best practices in Databricks, Spark and cloud architecture

Stay at the forefront with Azure, Databricks and big data technologies and promoting innovative approaches within the team

Plenty of freedom to take initiative and make your mark

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

Contribute to the design, development and optimisation of scalable data solutions in Microsoft Azure, with a strong focus on Databricks and Spark

Implement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability

Support the setup and optimisation of Databricks and Azure environments, including CI/CD automation and cloud infrastructure practices

Help ensure solutions meet enterprise standards for security, governance and compliance.

Collaborate with stakeholders and cross-functional teams to deliver data solutions that drive business impact

Share knowledge and best practices with junior engineers, while continuing to grow your own expertise in Databricks, Spark, ETL and cloud architecture

You have a solid understanding of data modelling concepts

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards

Plenty of freedom to take initiative and make your mark

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

Understand business needs and translate them into technical solutions by gathering requirements from stakeholders, understanding their KPIs and information needs, and designing data products that meet those requirements

Data transformation and pipelines: build, maintain and optimise ETL/ELT pipelines using SQL, Python, and cloud-based data platforms to extract, clean, transform and load data

Collaborate with business and IT stakeholders to ensure data solutions match real business needs, acting as a bridge between technical and non-technical teams

Data governance & quality: ensure data models and pipelines comply with governance, documentation, and quality standards; implement data validation, testing, lineage, and full documentation of data flows

Focus on data products: deliver usable, stable and well-documented data products (models, tables, dashboards) that business users can rely on, going beyond just building infrastructure

You have strong SQL skills, able to write complex queries, optimise performance, and build robust data pipelines and data models

You have solid experience in data modeling, including dimensional modeling, fact/dimension tables and star or snowflake schemas (or equivalents)

You have working knowledge of Python, which is a plus.

You can use BI and data visualisation tools (Power BI, Tableau) to create dashboards and reports that truly support business decisions

You are familiar with cloud data platforms, data warehouses and data lakehouses

You have strong business and data understanding: you can work with stakeholders, translate business needs into data requirements, understand domain logic and deliver useful data products

You have excellent communication skills, able to explain technical data concepts to non-technical stakeholders and clearly document data models, transformations, lineage and business logic

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards

Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve

Plenty of freedom to take initiative and make your mark

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

Lead the design, development and deployment of Generative AI applications and AI copilots using Azure AI Foundry

Architect and implement end-to-end data and MLOps pipelines for training, deployment, monitoring and CI/CD automation

Champion responsible AI principles, ensuring fairness, explainability and privacy across all projects

Collaborate with stakeholders and cross-functional teams to deliver AI solutions that generate measurable business value

You are familiar with OpenAI’s GPT-4 Turbo with Vision, Falcon, Stable Diffusion, LLaMA 2, Mistral, and Gemma, and understand hybrid and semantic search for retrieval-augmented generation (RAG) applications

You are skilled in CI/CD, Docker and IaaS (ARM, Bicep or Terraform) to support robust, scalable AI workflows

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards

Coaching and guidance from experienced LACO colleagues to help you thrive

A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check

Support the development and implementation of AI solutions on our client’s Azure platform

Deploy machine learning models using Azure Machine Learning Studio

Develop Generative AI applications, including AI copilots, using Azure AI Foundry

Collaborate with stakeholders and teams to implement AI applications that deliver value

You are proficient in Python and experienced with ML frameworks such as scikit-learn, TensorFlow and PyTorch, as well as open-source models like Hugging Face.

You have worked with OpenAI’s GPT-4 Turbo with Vision, Falcon, Stable Diffusion and Llama 2, using hybrid and semantic search to power retrieval-augmented generation (RAG) applications. Familiarity with other LLMs, including Mistral, Llama, and Gemma, is highly valued.

You are comfortable to work within the Microsoft Azure ecosystem, including Azure Machine Learning, Azure Data Lake, Azure Data Factory, Azure DevOps, AKS and AI Foundry

You apply MLOps practices, including version control, experiment tracking and pipeline automation

You are familiar with CI/CD, Docker and IaaS (ARM, Bicep or Terraform)

You analyse model performance and implement improvements

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards

Plenty of freedom to take initiative and make your mark

A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA

See the bigger picture and take the broader business context into account, rather than focuse on one problem for one business

Work proactively and design with the future in mind

Work alongside skilled colleagues in an open, honest and collaborative environment