1 to 25 of 29 Databricks Jobs in the North West

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven by delivering ...

doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data products enabling self-service analytics Improve data quality ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

ability to foster a collaborative team culture. Strong hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server). Expertise in ETL/ELT processes, SQL, and Python. Knowledge of data lake implementation and medallion lakehouse architecture. Solid ...

Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending on experience ...

Basic SQL querying skills Strong Excel skills and confidence producing presentations for stakeholders Experience working on data warehouse projects Basic knowledge of Azure and Databricks (advantageous) Desirable Understanding of Lloyd's market operations and syndicate structures Experience working within Finance or Actuarial areas Experience in relational and dimensional data modelling ...

Engineering will have the following skills and experience: Confidence operating across ML delivery, GenAI and distributed data. Cloud experience - ideally AWS. Understanding of Spark, Databricks or similar data technologies Knowledge of modern web (TypeScript or React) and .NET Strong grounding in CI/CD, containerisation and monitoring. BENEFITS The successful ...

globally distributed engineers, with Product Managers and BAs based onsite Tech environment TypeScript/Node.js Microsoft Azure (APIs, cloud-native services, containers/functions) Databricks (data modelling, optimisation, analytics) CI/CD and DevOps best practices What they're looking for Proven experience as a Senior Engineer or Technical Lead ...

Power BI, including data modelling and DAX. Solid understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent ...

passion for quality, maintainability and continuous improvement Desirable (but not essential) AI/Machine Learning exposure Azure Infrastructure as Code Data engineering or Databricks experience Power Platform/Power Apps Why This Role Is Different Greenfield rebuilds of core, business-critical systems A chance to shape how multiple teams work ...

Senior Data Engineer will need to: Build and maintain Python-based batch ingestion pipelines from a variety of healthcare systems Work extensively with Databricks on AWS Contribute to data modelling and transformations using dbt Collaborate with analysts and stakeholders to support reporting and insights (PowerBI) Help establish best practices around ...

role: SQL Server MS SSIS T-SQL Azure Data Factory Visual Studio Strong written & verbal communication Desirables: Python Azure Synapse/Databricks Flink/Kafka The role will be on a hybrid working basis with 3 days per week in the Liverpool office. The role is commutable from the surrounding ...

required: Proven record developing & supporting MI & Data Warehouse systems SQL Server Management Studio SSIS MS Azure (Data Factory) Visual Studio Sharedo Azure Synapse/Databricks Python (desirable) The DBA role is based in Liverpool city centre & will be hybrid working with 3 days per week in the office. The role ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

data engineering capability within the business. Responsibilities Lead the design and development of end-to-end data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level … architectural decisions and data engineering standards across projects Skills and Experience Extensive hands-on experience with Azure data services such as Synapse, Data Factory, Databricks or Fabric Strong SQL skills with experience building optimised, complex queries Proficiency in Python and/or PySpark for data transformation and automation Strong experience ...

This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. … join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: * Develop and deploy Databricks Lakehouse platform solutions within Azure. * Build and maintain automation for clusters, tagging, monitoring and platform operations. * Architect and design end-to-end data platform solutions ...

modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. **You need to have strong experience working with Databricks** You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark … Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code ...

+ BENEFITS PRIMARILY REMOTE This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale. THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. … make a visible impact while continuing to grow your expertise THE ROLE: You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ...

clients and is looking to provide further expertise by improving its data capabilities. THE ROLE As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure. Specifically, you can expect to be involved in the following: Designing … developing end-to-end data platform solutions in Azure using Databricks Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation. Implementing CI/CD and DevOps best practices across data pipelines and platform components. Taking ownership of design decisions and long-term architectural direction. SKILLS AND EXPERIENCE ...

champion best practices across projects. Architect, implement, and optimize Azure-based solutions, with strong focus on Containers and App Services/Functions. Use Databricks for data modelling, transformation, and advanced analytics. Build and maintain CI/CD pipelines using Azure DevOps for seamless, reliable deployments. Apply cloud security best practices … software development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

champion best practices across projects. Architect, implement, and optimize Azure-based solutions, with strong focus on Containers and App Services/Functions. Use Databricks for data modelling, transformation, and advanced analytics. Build and maintain CI/CD pipelines using Azure DevOps for seamless, reliable deployments. Apply cloud security best practices … software development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

champion best practices across projects. Architect, implement, and optimize Azure-based solutions, with strong focus on Containers and App Services/Functions. Use Databricks for data modelling, transformation, and advanced analytics. Build and maintain CI/CD pipelines using Azure DevOps for seamless, reliable deployments. Apply cloud security best practices … software development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption … general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication ...

Databricks A rchitect Role Overview We are seeking a S enior Databricks Architect to lead the design and delivery of scalable, high-performance data platforms built on Databricks. This is a strategic role requiring strong architectural experience, hands-on design capability, and a deep understanding of modern data ecosystems. … migrating data platforms into Databricks. Candidates with strong architecture backgrounds on comparable platforms (such as Snowflake) will also be considered, provided they hold relevant Databricks certifications. Key Responsibilities Design end-to-end data architectures using Databricks for analytics, data engineering, and data science use cases. Lead and support data platform ...

autonomy and hands-off management. Specifically, you can expect to be involved in the following: Data ingestion using Fivetran and Python Batch Scripts Using Databricks to store and process large volumes of data within an AWS environment Building data transformations with DBT Building visualisations using Power BI Nice to Haves … Terraform Docker AWS Certification SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Strong Python skills and R Databricks on AWS Experience with strong governance Previous work with health providers good but not essential History with startups good but not essential BENEFITS The successful ...