14 of 14 Permanent Databricks Jobs in Lancashire

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 ...

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 ...

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 ...

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 ...

+ 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 ...

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 ...

technical stakeholders to understand data needs. Contribute to the development of medallion architecture and wider data modelling strategy. Support the onboarding of a new Databricks environment and enable future ML initiatives. SKILLS AND EXPERIENCE The successful Analytics Engineer will have the following skills and experience: Strong commercial experience using … analytics role. Sound understanding of data modelling principles and modern cloud data stacks. Experience working with digital, online, or web-based products. Familiarity with Databricks is beneficial but not essential. BENEFITS The successful Analytics Engineer will receive the following benefits: Salary between £55,000 - £65,000 - depending on experience Competitive ...