1 to 25 of 264 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 »

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 »

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 »

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 »

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 »

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 »

some greenfield project wins. I'm looking for an experienced Lead Data Engineer to play a pivotal role in building state-of-the-art Databricks and Snowflake Lakehouse solutions from scratch. If you have experience with Azure, Databricks or Snowflake, SQL, ETL, and a passion for consulting, please get in … touch. Key Responsibilities: Design, develop, and maintain cutting-edge Databricks or Snowflake Lakehouse solutions from scratch Collaborate with cross-functional teams to understand data requirements and translate them into efficient ETL processes. Work with Azure services to ensure data storage, security, and scalability. Develop and optimize SQL queries for data … changes within the insurance sector to inform data strategies and solutions. Experience: Proven experience in building and maintaining data lakes or data warehouses using Databricks on Azure. Strong expertise in SQL and ETL processes. Recent experience working within consulting, with a deep understanding of how to be a true 'consultant 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 »

Senior Data Engineer £65,000 - £75,000 + 10% 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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

data solutions from the earliest discovery phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory as well as Hadoop to create big data environments which, in turn, will help businesses to gain greater insight into their big data … BI/Analysis Services/DAX Data Modelling/Data Warehouse Theory Nice to Have Azure Modern Data Platform Services (Data Lake, Data Factory, Databricks, Synapse) Azure DevOps/CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure more »

Headcount, Staff Reconciliation Adhoc Represent Tech Media at Kantar Tech Finance forums and initiatives. Understand and reallocate central recharges such as Kyndryl, Azure, AWS, Databricks Work with advisors on annual UK R&D tax credit. Form relationships with key vendor partners such as Cognizant and Persistent Supplier/procurement/ more »

About Tredence: - Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions 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 »

/marketing models but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, MLFlow, APIs Apply below more »

ensure data quality, and escalate technical issues as necessary. What you’ll be getting up to: Monitoring and recovery of Azure Data Factory and Databricks jobs Proactive monitoring of data quality Becoming a subject matter expert on the company's data sources and ingestion methods. Assisting in developing and adhering more »