26 to 50 of 71 Apache Spark Jobs in the UK excluding London

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering ...

data governance, stewardship frameworks, and operating models Hands-on experience with data engineering and large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability to design and govern secure, scalable, and resilient data ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark/Airflow/Beam) Mobile and front-end web application development experience What We Offer At Newpage, we’re building a company that works ...

Azure Services Understanding of software architecture, design patterns, and agile delivery Experience with geospatial data, REST APIs, JSON and spatial query engines (e.g. Apache Spark) Experience with Generative AI technologies including Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and Prompt/Context Engineering Passion for continuous improvement ...

Azure Services Solid understanding of software architecture, design patterns, and agile delivery practices Experience with geospatial data, REST APIs, JSON, and spatial engines (e.g., Apache Spark) Experience with Generative AI, including LLMs, RAG, and prompt/context engineering A passion for continuous improvement and delivering high-quality solutions ...

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 SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable ...

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 SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable ...

architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations using PySpark and Spark SQL Implement data models optimized for analytics and reporting (e.g. star schemas) Monitor, troubleshoot, and optimize performance and cost of data workloads Apply data … version control (Git) and collaborative development workflows Nice to Have Experience with Power BI and semantic models Exposure to streaming technologies (Kafka, Event Hubs, Spark Structured Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance and cataloging tools Experience ...

Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that ...

skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in a STEM field ...

Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in a STEM field ...

Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in a STEM field ...

deep learning techniques. Experience deploying ML models to production using cloud platforms (AWS, GCP or Azure). Familiarity with big-data or distributed tools (Spark, Kafka or similar). A track record of leading complex ML projects and influencing technical decisions. Excellent communication skills across distributed, cross-functional teams. ...

record designing, scaling, and maintaining distributed systems and high-volume data pipelines. Strong background in cloud-native architectures and modern data stacks such as Spark or Databricks. Experience working closely with Data Science teams, including delivering production-grade ML models and pipelines. Solid understanding of modern frontend engineering practices ...

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 SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable ...

Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring, logging ...

complex, data-driven platform used by enterprise customers. You will set technical direction and guide architecture across distributed systems, large-scale data processing (Scala, Spark, Databricks), machine learning pipelines, and cloud-native infrastructure on AWS. A core focus is driving high-quality execution through strong engineering practices including ...

innovative thinking process and encourage it in others. Working within the agile framework at Chambers Skills and Experience Strong proficiency in SQL , including Spark SQL and MS SQL Server , for querying, data manipulation, and performance optimization. Hands-on experience with Python and PySpark for data processing, transformation, and automation … design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled in version control using ...

please only apply if you hit this criteria. Required Experience Strong background in data engineering within distributed data environments Hands-on expertise with AWS , Spark , Glue , and Snowflake Experience building and optimising data pipelines & reporting workflows Ability to work closely with internal engineering and controls teams Experience upgrading … modernising existing workflows and frameworks For Lead-level: prior experience leading engineering teams or workstreams Tech Stack AWS (Glue, S3, Lambda, Step Functions) Apache Spark Snowflake Java if you are interested in this role then please apply here or email me your most recent and up to date ...

please only apply if you hit this criteria. Required Experience Strong background in data engineering within distributed data environments Hands-on expertise with AWS , Spark , Glue , and Snowflake Experience building and optimising data pipelines & reporting workflows Ability to work closely with internal engineering and controls teams Experience upgrading … modernising existing workflows and frameworks For Lead-level: prior experience leading engineering teams or workstreams Tech Stack AWS (Glue, S3, Lambda, Step Functions) Apache Spark Snowflake Java if you are interested in this role then please apply here or email me your most recent and up to date ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable ...

starter approach, and strong communication skills Geographical flexibility to move to any Parker location both during and upon completion of the program. Did we spark your interest? Then put your career in motion as soon as possible! Simply click Apply Now and attach a copy of your CV. NextSteps ...