1 to 25 of 260 Permanent Databricks Jobs in the UK

and coordinating release schedules Preferred Qualifications Experience owning/driving roadmap strategy and definition Understanding of data warehouses or Lakehouses, such as on BigQuery, Databricks or Snowflake Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems WHO WE ARE: Do Your Best Work The opportunity more »

Lead Data Engineer - Azure/Python/Power BI My client, a London Market Specialty Insurance company are currently recruiting for a Lead Data Engineer to join their team on a Permanent basis. This is a great opportunity for an more »

Everything happens somewhere - which is why spatial analytics is fundamental to companies seeking to understand the “where” and the “why” of their business. CARTO is the leading cloud-native location intelligence platform, trusted by data scientists, data analysts and developers more »

Principal Data Engineer £80,000 - £103,000 + 15% Bonus London based - Hybrid working A consultancy at the heart of ground-breaking innovation and transformative solutions where expertise meets ambition. With a focus on collaborative brilliance shaping industries and propelling more »

software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or more »

bring fresh ideas to the table. Key Responsibilities Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask Ingest and integrate data from a large number of disparate data … in training and learn new technologies and techniques Tackle challenging project tasks demonstrating ownership and responsibility Skills: Experience in processing data using Spark/Databricks or similar Experience working in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building 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 »

an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »

Data Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD … pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns 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 »

Python & Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up 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 »

create effective data models supporting business processes, including knowledge of dimensional modeling and normalization. Familiarity with big data technologies on Azure, such as Azure Databricks and Azure Stream Analytics. Knowledge of data security practices, cloud architecture principles, scripting languages for automation, data visualization tools, DevOps practices, machine learning frameworks, performance more »

a Data Engineer Experience with analytical reporting and reporting tools - Tableau, Powerbase, SAP BO, Cognos (or similar) Experience with Data Integration tooling/Frameworks - Databricks, Oracle Data, Oracale Warehouse, AWS Glue, Azure Data Factory (or similar) Extensive experience with Python, Spark, SQL, SAS, MATLAB Strong SQL experience Good understanding of more »

practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you're 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 »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today or get more »

through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Award Winning Business and Award-Winning Microsoft Partner Winning Databricks Partner GitHub Partner Native Organisation International and Diverse teams collaborative environment, where ideas and knowledge sharing are actively encouraged Medical Insurance Assistance Programme Protection Cover more »

Senior Data Engineer (Azure/Data Lake/Databricks/Data Factory/SQL Data Warehouse/SQL Database) A leading energy company in the low-carbon sector is looking for a Senior Data Engineer . Base Location: Flexible, with a preference for key Scottish sites including Perth, Aberdeen, or … Professional-level technical computing, analysis, design, and development skills. Experience with Azure cloud technologies for analytics solutions. Proficiency with Azure resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse. Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA. 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 »