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Design, develop, and optimize scalable data processing solutions and ETL pipelines using Python, PySpark, Databricks, and Azure, collaborating with Data Architects, Scientists, and BI teams.
Design, develop, and optimize scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and Microsoft Azure, collaborating with cross-functional data teams.
Build scalable data platforms using Azure and Microsoft Fabric, designing end-to-end data pipelines and lakehouse/medallion architectures while optimizing queries and ensuring data quality, security, and reliability.
AI Solutions Engineer supporting intelligent automation and digital transformation programmes across enterprise and public sector environments for a technology consultancy.
Lead AMAN's Software Factory's technical direction and full delivery lifecycle, overseeing enterprise platforms, integrations, and AI-enabled applications for clients across the region.
Designs and builds reusable Snowflake-based data solutions for fleet and mobility use cases, focusing on real-time pipelines, analytics, and scalable accelerators for customer pilots.
Senior Data Engineer to build a metadata-driven, automated Data Vault engine, designing auto-generated structures and change detection for Raw Data Vault, while promoting data governance practices across multidisciplinary teams.
Krell Consulting is seeking a Data Engineer to design and implement cloud-based data solutions using Snowflake and DBT. The role focuses on building analytical models, optimizing data platform performance, and collaborating within Agile teams.
BI Developer/Data Engineer building scalable data platforms, ETL pipelines, and analytical data models using SQL, PostgreSQL, Python, and Airflow for a custom software company.
Data Engineer designing and maintaining modern data pipelines using Snowflake and dbt for a data/AI consultancy serving clients across multiple sectors.
Full Stack Developer role in Barcelona working with VueJS, JavaScript, NodeJS, and TypeScript on platform development, maintenance, and operational continuity for an international IT consultancy.
The DevOps Engineer will manage and secure containerized platforms using OpenShift and Kubernetes in a hybrid role based in Madrid. The position involves working within a regulated public sector environment to maintain infrastructure performance and collaborate with development teams.
DevOps Consultant designing enterprise CI/CD pipelines with deep hands-on expertise in the Harness Software Delivery Platform, Kubernetes, and Git workflows.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
Solirius Consulting is seeking an experienced Data Analyst to perform data analysis and performance tracking using tools like Power BI, Tableau, Google Analytics, and Amplitude. The role involves capturing requirements and producing governance documentation.
The MES Solution Architect will lead the design and implementation of enterprise-scale manufacturing execution systems using Siemens Opcenter. The role involves integrating MES with various industrial systems like ERP, PLM, and SCADA across multi-site manufacturing environments.
Data Architect specializing in Microsoft Fabric—designing architecture, governance, OneLake, and Real-Time Intelligence solutions while integrating with the Azure data stack and Power BI, and influencing senior stakeholders in a consulting environment.
Methods Consulting is seeking a Java/Python Developer to work on system design and microservices. The role requires extensive experience with Java, Python, Spring, and relational database modeling.
Data Architect role in Central London designing and delivering data solutions using the Azure data stack, with focus on data modelling across relational and dimensional models and performance optimisation of SQL Server and PostgreSQL databases.
Lead Data Engineer on a cloud delta lakehouse data platform using Azure, Databricks, and PySpark, based hybrid in Central London (4 days office).
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