1 to 25 of 32 Databricks Jobs in the North of England

undergoes a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

Specialisation in Analytics on Azure, Infrastructure and Digital & App Innovation we know what we’re talking about! We’re also proud to be a Databricks partner. IBM Gold partner, specialising in Cognos Analytics, and Planning Analytics (TM1). This ecosystem of technology vendor relationships equips us with deeper expertise, enabling more »

Senior Data Engineer | Full Time | On-Site | Python | SQL | DataBricks| Azure| As a Senior Data Engineer, you will play a key technical role in design, implementation, and continuous refinement of data pipelines and architectures within Microsoft’s Azure ecosystem. This role involves leveraging Azure’s diverse data services, such as … Data Factory, Databricks, Azure SQL and Synapse Analytics, among others, to build scalable and secure data solutions that support complex onward processing by both operational and analytical teams. What will this role look like? - Develop and maintain scalable, efficient, and robust data architectures. This involves creating 3NF and dimensional data … Provide guidance and mentorship to more junior members of staff, fostering a culture of growth Which of your skills will be used? Expertise in Databricks is essential. Strong proficiency in SQL Knowledge of Data warehousing technologies and concepts. Excellent communication and leadership skills. Benefits: This position is a senior-level more »

Lead Azure Data Engineer - Manchester - £60,000-£75,000 My client has an immediate and exciting opportunity available for an experienced Azure data engineer to join and help lead their small team of developers. You'll have the opportunity to more »

talented Senior Data Engineer to join our team and build robust data pipelines. Responsibilities: Build, and maintain scalable data pipelines. Maintain the pipeline through Databricks and Apache Beam Seamless data integration and quality. Data storage solutions using GCP (will still be considered with other cloud experience) Best practices in data … management and SDLC. Work with Data Scientists to bring the AI/ML models into production Databricks for daily data processing Qualifications: Experience in data engineering and pipeline construction. GCP and familiarity with other cloud environments. Understanding of SDLC. Experience with Databricks. Programming skills (Python and SQL). What We more »

LEAD DATA ENGINEER REMOTE FIRST (UK BASED) UP TO £100,000 PERMANENT Do you have experience using cloud technologies? Are you passionate about Data Engineering and have a strong background working with public sector organisation? This role is an amazing more »

new technology to solve business problems. Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data … Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI Strong experience in SQL Good understanding more »

for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e. Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

data platform accelerators. We think this role would suit many different backgrounds and skills, we only ask that you: Strong experience of working with Databricks Work in an AWS or Azure environment Are comfortable with Infrastructure as Code Automate repetitive tasks and workloads Are excited working with and evangelising data more »

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

Cognitive Services. Confidence with utilising other forms of AI in a business setting, including but not limited to LLMs and Generative AI. Use of Databricks for model development and deployment. You’ll thrive if you have: Commercial Acumen: We are a small team, and to grow we require every individual more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »