351 to 375 of 719 Remote Databricks Jobs

standards and ways of working, and presenting these to the community Here’s a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT What we’re looking for We’d love to hear from ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity ...

work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices ...

work.We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices ...

working on real-time/near real-time inference solutions and the infrastructure to support them Experience working with and deploying solutions into Databricks Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly A good understanding of consumer lending ...

storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed ...

connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data‐intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open‐source or CNCF community projects. Job Benefits How we work: Hybrid working ...

Registries connecting microservices and AI agents.Background in secure containers, sandboxing, or confidential computing for regulated workloads.Experience with data-intensive systems such as Spark, Databricks, or Data Mesh.Programming experience in Go, Python, or TypeScript.Contributions to open-source or CNCF community projects.Job Benefits> How we work:Hybrid working and the option ...

team to advance the data platform within a DevOps culture. You will play a central role in building and maintaining scalable data pipelines across Databricks & Azure SQL Server, and will bring solid experience with ELT, orchestration, and scripting languages. A firm grasp of data modelling and management will be essential … technical authority accountable for the design and development of the technologies that underpin our data strategy. At the heart of this is our Databricks data platform, and you will take ownership of building, optimising, and maintaining data pipelines using PySpark - orchestrating feeds from source systems through to our group data ...

Colibri Digital is seeking a Senior Data Engineer to design, implement, and manage a cloud-based data platform that consolidates legacy data services. You will build scalable pipelines, model data, and ensure governance and security ...

enterprise-grade cloud data solutions, providing expert perspective on storage options (e.g., object storage, data lakes, data warehouses) and compute engine options (e.g., Spark, Databricks, Synapse Analytics, BigQuery).Implementing and optimising data lake and data warehouse solutions on cloud platforms using services such as object storage (e.g., S3, ADLS … MongoDB, Cassandra, etc.Developing and orchestrating highly performant, scalable, and re-usable data ingestion and transformation pipelines across various cloud components and services such as Databricks, AWS Glue, Google Dataflow, Azure Data Factory, or similar.Developing event-based and streaming data ingestion and processing using cloud-native PaaS services or Apache Kafka.Data ...

Senior Data Engineer (Databricks) Salary £65,000 Type Full time, permanent Hours 37.5 per week Location Remote or Hybrid UK, with occasional Richmond office attendance (a couple of times per month) Overview We are looking for a Senior Data Engineer to join the Retail Insight Data and Engineering team, contributing … design, development and day to day operation of our Databricks environment. You will build reliable, scalable pipelines and help shape engineering standards, working closely with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark ...

hands-on Databricks Lead Engineer is required to lead the delivery of a modern enterprise data platform for a leading financial services organisation. The role will take technical ownership of Databricks lakehouse solutions, covering ingestion through to curated serving layers. Responsibilities will include implementing Medallion Architecture, Unity Catalog, Declarative Pipelines … scalable Databricks-native ingestion patterns while mentoring engineers and driving production-quality delivery. Whats on offer Up to £575 per day Inside IR35 Initial 6-month contract with potential extension Hybrid working with three days per week on-site in London ASAP start Technical leadership of a strategic Databricks implementation ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We’re a lean, high-growth team based in London, working at the intersection of data, technology and business strategy. We partner with enterprise organisations across industries to solve … shape our reporting standards and reusable assets. What You’ll Do Design, build and deliver dashboards and reporting products using Power BI, Tableau and Databricks AI/BI. Partner directly with business stakeholders to understand their objectives and translate them into clear, decision-focused reporting. Run discovery sessions, requirements workshops ...

looking for a Senior Platform Engineer to join our Data & Engineering team and play a key role in the development and evolution of our Databricks platform. This is a senior, hands-on engineering role where you'll design, build and optimise the data platform that powers our products and services. … building robust data platforms at scale, we'd love to hear from you. What you'll be doing Design, build and enhance our Databricks platform, ensuring it remains secure, scalable and reliable. Develop and maintain batch and real-time data pipelines using Databricks, Spark and Delta Lake. Contribute to platform ...

This is a hands-on delivery role focused on designing scalable data pipelines, migrating legacy data assets and developing enterprise-grade data solutions using Databricks, Python, SQL and Oracle click apply for full job details ...

activities to improve retention and CLV, collaborating with Marketing, Ecommerce, Product, and Data Science teams. The role leverages reporting in SQL, Power BI, and Databricks to drive impactful decisions, with a hybrid work arrangement and exposure to senior stakeholders. #J-18808-Ljbffr ...

Senior Data Engineer to join our fast-growing team. You will design, build, and maintain scalable data pipelines using SQL and Python, leveraging Databricks, Snowflake, and cloud services. You will lead data integration efforts, implement CI/CD for pipelines, mentor engineers, and ensure governance and security while collaborating with ...

data models while mentoring engineers and setting engineering standards. You'll work closely with stakeholders to translate requirements into robust data solutions, using Databricks, Snowflake, dbt, Airflow, Python and SQL in production environments. #J-18808-Ljbffr ...

scalable data, analytics and AI-assisted automation solutions that improve business decision‐making. This is a hands‐on engineering role for someone strong in Databricks, SQL and Python who is already using tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT to accelerate development. #J-18808-Ljbffr ...

user experiences and business decisions, driving real-time insights and production-ready solutions. The role emphasises a strong python/sql foundation, production ML, Databricks, and a postgraduate STEM degree, with a hybrid working setup and rich development #J-18808-Ljbffr ...

site work in London. You will design experiments, build semantic data models in Power BI, and collaborate with data engineers to optimize pipelines in Databricks for self-service analytics and #J-18808-Ljbffr ...

deliver cloud-native data services powering the firm’s platform, enabling large-scale analytics for global markets. You will drive the migration to Databricks on AWS, lead engineering teams, optimize performance, governance and security, and enable AI-enabled analytics and ML integration across critical applications. The role offers hybrid working ...

Engineering, SDET, Quality Engineering, Data Engineering, DevOps or Platform Engineering. Proven practical experience with Agentic AI tools such as GitHub Copilot and/or Databricks Genie. Experience designing multi-step AI workflows covering code generation, review, automated testing and iterative refinement. Strong understanding of automated testing and shift-left quality ...

SDET, Quality Engineering, Data Engineering, DevOps or Platform Engineering . Proven practical experience with Agentic AI tools such as GitHub Copilot and/or Databricks Genie . Experience designing multi‐step AI workflows covering code generation, review, automated testing and iterative refinement. Strong understanding of automated testing and shift‐left ...