Talan
Consulting
DataEngineer(Azure&Databricks)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer (Azure & Databricks) at Talan. Skills: Data Engineering, Azure, Databricks, Data Modeling. Design data pipelines. Develop data pipelines”
Industry & Context.
What They're Looking For.
Must Have
4-5 years experience Data Engineer, Databricks experience, Azure Data Services experience, DBT experience, Data modeling experience, VSCode experience, GitLab experience, Solid SQL skills, Understanding of data pipelines
Nice to Have
Data Vault modeling experience, Experience in banking, Experience in financial services, Experience in industrial sectors, CI/CD for data pipelines knowledge, International environments experience, Enterprise-scale environments experience
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain ETL pipelines
Maintain ELT pipelines
Collaborate with data architects
Collaborate with data analysts
Define data structures
Ensure data solution quality
Ensure data solution performance
Ensure data solution scalability
Collaborate via GitLab
How You'll Work.
Team & Collaboration
International teams; Distributed teams; Agile environment
Process & Methodology
Agile
Full Job Description
Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise * Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. * Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. * Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications. You will join a global data platform initiative focused on modernizing data architecture using cloud-native technologies. The project involves building scalable data pipelines and transforming legacy data models into modern analytics structures (Star Schema / Data Vault), leveraging Azure and Databricks. You’ll collaborate with international teams and contribute to a robust, production-grade data ecosystem. What you will do: * Design and develop data pipelines using Azure and Databricks * Transform and model data using
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