26 to 50 of 2,000 Permanent Databricks Jobs

how your job looks like You are part of the IT Data & AI Team and play a key role in shaping, implementing, and enhancing our Data Lake using Azure Databricks Source Integration : Establish connections to diverse systems via APIs , ODBC , Event Hubs , and sFTP protocols. ETL/ELT Pipelines : Design and optimize data pipelines using Azure Data Factory and Databricks … role in driving our digital transformation. The experience and knowledge you bring Experience : At least 5+ years as an Azure Data Engineer. Technical Expertise : Proficiency with Azure Data Factory , Databricks and Azure Storage . Strong skills in SQL , Python , and data modeling techniques. Familiarity with data formats like Parquet and JSON. Experience with AI/ML model management on Azure … Databricks . Education : Bachelor's degree in IT, Computer Science, or a related field. Microsoft Certified: Azure Data Engineer Associate Language Skills : Fluency in Dutch and English is mandatory. French is a plus. Knowledge of PowerBI is a plus. The key competences we are looking for Analytical mindset with attention to detail. Pragmatic and customer-oriented approach to problem-solving. More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

business needs & improve overall data availability for the business. Partner with E2E LEGO.com Operations digital product teams to ensure high quality data is collected and published to LEGO Nexus (databricks) to a standard fit for purpose for downstream delivery of data products. Enable LEGO Retail specific data understanding and champion data literacy via guidelines, training, drop-in sessions, documentation, and … a curious, solution-driven mindset. Fluent in English and open to light travel (up to 10 days/year). Nice to have Experience with CI/CD pipelines, Databricks, and Databricks Asset Bundles is beneficial. You’re comfortable working in cross-cultural environments and collaborating with global teams across time zones. A good understanding of consumer retail or direct More ❯

desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the current tools, the latest approaches Nice To Have Experience with Databricks, Delta Live Tables (DLT) or Data Build Tool (DBT) Experience working in a cloud environment (Azure, AWS, GCP) Experience in building data pipeline/ETL/ELT solutions Experience working … owners using data. Every step you take enriches our understanding. Get hands-on experience orchestrating data flows & pipelines in a cloud environment with a cutting-edge tech stack (Azure, Databricks, PySpark, SQL) Learn to incorporate DevOps & CI/CD methodologies to collaborate on a growing platform Partner with data scientists, analysts and technology partners, learning how to design and build More ❯

implement effective solutions Excellent communication, teamwork, and organizational skills, with a focus on innovation and continuous improvement One or more of the following certifications are desired: AWS Certified Developer, Databricks, Agile/Scrum, Python Programmer Preferred Qualifications: Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance … platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top Secret or TS/ More ❯

to collaborate with cross-functional teams effectively. Inquisitive with an eagerness to learn. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps environment with CI/CD More ❯

audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. What’s in it More ❯

SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse, Paris, Francewell as a familiarity with different development methodologies More ❯

Celigo, Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud- data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong More ❯

Techyard is supporting a growing Databricks-partnered consultancy in securing a Databricks Champion Solution Architect to lead the design and delivery of advanced data and AI solutions on the Databricks Lakehouse Platform. This strategic, high-impact role is ideal for a seasoned professional who can operate as both a hands-on architect and a trusted advisor—bridging business vision with … the consultancy’s data engineering capabilities as they scale their team and client base. Key Responsibilities: Architect and implement end-to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow). Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark. Champion the adoption of Lakehouse architecture (bronze … Collaborate with stakeholders, analysts, and data scientists to translate business needs into clean, production-ready datasets. Promote CI/CD, DevOps, and data reliability engineering (DRE) best practices across Databricks environments. Integrate with cloud-native services and orchestrate workflows using tools such as dbt, Airflow, and Databricks Workflows. Drive performance tuning, cost optimisation, and monitoring across data workloads. Mentor engineering More ❯

days ago Be among the first 25 applicants Direct message the job poster from TechYard Senior Delivery Consultant @ TechYard Recruitment | Connecting Talent to Opportunity Techyard is supporting a growing Databricks-partnered consultancy in securing a Databricks Champion Solution Architect to lead the design and delivery of advanced data and AI solutions on the Databricks Lakehouse Platform. This strategic, high-impact … the consultancy’s data engineering capabilities as they scale their team and client base. Key Responsibilities: Architect and implement end-to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow). Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark. Champion the adoption of Lakehouse architecture (bronze … Collaborate with stakeholders, analysts, and data scientists to translate business needs into clean, production-ready datasets. Promote CI/CD, DevOps, and data reliability engineering (DRE) best practices across Databricks environments. Integrate with cloud-native services and orchestrate workflows using tools such as dbt, Airflow, and Databricks Workflows. Drive performance tuning, cost optimisation, and monitoring across data workloads. Mentor engineering More ❯

with self-service analytics and AI capabilities. We work in close collaboration with stakeholders across Europe, bringing together global innovation and local context. What You Will Do As a Databricks Solution Architect, you will play a pivotal role in Axpo’s enterprise data transformation by designing and governing scalable and secure solutions on the Databricks Lakehouse platform. You will: Define … architecture standards and patterns for Databricks-based solutions across ingestion, processing, and analytics. Lead the design of performant, secure, and cost-effective Lakehouse architectures aligned with enterprise needs. Collaborate with business stakeholders, engineers, and data scientists to design end-to-end solutions that enable innovation and data-driven decision making. Guide engineering teams on implementing best practices around data modeling … as-code. Promote and govern usage of Unity Catalog for access control, lineage, and metadata management. Champion platform observability, data quality, and operational monitoring across analytics pipelines. Evaluate new Databricks features (e.g., Delta Sharing, governance enhancements) and lead their integration into platform capabilities. Establish solution review processes and mentor engineers and analysts on architectural thinking and Databricks capabilities. Support security More ❯

Join to apply for the Data Engineer (Databricks) role at Pantheon Continue with Google Continue with Google Join to apply for the Data Engineer (Databricks) role at Pantheon Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments … the organization. Essential Technical Skills Experience in designing and developing data warehouse solutions. Building and configuring multistage Azure deployment pipelines Advanced SQL, Python, PySpark Azure Data Lake, Data Factory, Databricks and Functions Azure Data Lake Storage Gen2 Traditional ETL (Informatica, SSIS etc.) Azure Powershell/CLI Azure Key Vault ARM/Terraform scripts to deploy infrastructure services. Essential Experience Experience More ❯

sector, shaping data pipelines and platforms that power smarter decisions, better pricing, and sharper customer insights. The Data Engineer will design, build, and optimise scalable data pipelines within Azure Databricks, ensuring high-quality, reliable data is available to support pricing, underwriting, claims, and operational decision-making. This role is critical in modernising SBG’s cloud-based data infrastructure, ensuring compliance … regulations, and enabling AI-driven analytics and automation. By leveraging Azure-native services, such as Azure Data Factory (ADF) for orchestration, Delta Lake for ACID-compliant data storage, and Databricks Structured Streaming for real-time data processing, the Data Engineer will help unlock insights, enhance pricing accuracy, and drive innovation. The role also includes optimising Databricks query performance, implementing robust … security controls (RBAC, Unity Catalog), and ensuring enterprise-wide data reliability. Working closely with Data Architects, Pricing Teams, Data Analysts, and IT, this role will ensure our Azure Databricks data ecosystem is scalable, efficient, and aligned with business objectives. Additionally, the Data Engineer will contribute to cost optimisation, governance, and automation within Azure’s modern data platform. Key Responsibilities Data More ❯

individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You … Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work … independently, and lead projects, initiatives, and/or people Willingness to travel. Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification. Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … data solutions. RESPONSIBILITIES Data Pipeline Development: Design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Modeling: Design and optimize data models and schemas for efficient storage, retrieval, and analysis of structured and unstructured data. ETL Processes: Develop and automate ETL workflows … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines and version control systems like Git. Knowledge of ETL tools and More ❯

Job Description Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client is seeking a talented Data Engineer to help build and optimise our data infrastructure, enabling them More ❯

for building scalable, reliable data pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. Apply data modelling techniques such More ❯

SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse, Paris, Francewell as a familiarity with different development methodologies More ❯

advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts More ❯

advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts More ❯

viable, and aligned with client expectations. Enterprise Solution Design : Architect and lead the delivery of large-scale data platforms (including lakes, lakehouses, and warehouses) using GCP, Cloud Storage, BigQuery, Databricks, Snowflake. Cloud Data Strategy: Own cloud migration and modernisation strategy, leveraging GCP, and tools such as Terraform, Azure DevOps, GitHub, and CI/CD pipelines. Data Modelling: Apply deep hands More ❯

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯