1 to 25 of 133 Permanent Apache Spark Jobs in the UK

About the Role We are seeking a highly skilled Senior Software Engineer with deep expertise in API Development using Spring Boot and knowledge of Apache Spark‐based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build … teams to architect and manage robust, production‐grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‐performance solutions. The ideal candidate is a proactive ...

About the Role We are seeking a highly skilled Senior Software Engineer with deep expertise in API Development using Spring Boot and knowledge of Apache Spark‐based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build … teams to architect and manage robust, production‐grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‐performance solutions. The ideal candidate is a proactive ...

role We are seeking a high‐skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark‐based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build … teams to architect and manage robust, production‐grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‐performance solutions. The ideal candidate is a proactive ...

Python ML Model Development Kafka,Spark, PostgreSQL scikit-learn, PyTorch, pandas, NumPy, XGBoost, Spark, Apache Spark,Apache Airflow,Apache Kafka, RabbitMQ,PostgreSQL, MySQL R, Bash, TensorFlow, XGBoost, LightGBM, Mllib,Classical ML, Deep Learning, NLP, Time Series Forecasting, DataBricks ...

possible! Diverse training opportunities and social benefits (e.g. UK pension schema) Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such ...

Data Engineer Salary up to £70,000 + discretionary bonus Hybrid working model with collaborative office environment Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS Apply online or contact Chelsea Hackett via ABOUT THE CLIENT Due to continued growth, we're seeking a skilled Data Engineer … optimise scalable data pipelines within a Databricks Lakehouse environment. You'll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering ...

root‐cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark . Working knowledge of common data formats such as JSON , Avro and Parquet . Technology Environment The role will involve working with … should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised ...

partnership with Inspire People, is hiring a Lead Data Engineer with strong SQL and Python expertise, experience across modern cloud data platforms including Databricks, Apache Spark and lakehouse architectures, and a proven ability to design, build and lead delivery of reliable data products. This is a permanent role … Strong proficiency in SQL and Python - Experience with modern cloud data platforms and lakehouse architectures - Hands-on experience with big data technologies such as Apache Spark or Databricks - Strong knowledge of data warehousing concepts - Experience with build, test and deployment automation - Proven leadership capability leading or mentoring data ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic … code generation in regulated environments Strong hands-on experience with AWS ecosystem: AWS Glue, S3, and related data platforms (e.g. Snowflake) Strong experience with Apache Airflow and DAG-based orchestration Experience designing configuration-driven frameworks: Using YAML or JSON Experience building automated testing for data pipelines: Functional equivalence testing ...

data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling ...

subscription platforms, ad tech, and social media. Proven ability to automate and optimise data workflows , using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement … hands-on experience in a data engineering role. Tools & Technologies : Databases : Proficient in SQL databases. Workflow Management Tools : Experience with orchestration platforms such as Apache Airflow . Programming Languages : Skilled in one or more of the following languages, i.e.: Python , Java , Go. Cloud Infrastructure : Strong understanding of cloud infrastructure ...

Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks ...

Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks ...

services and cloud-based data engineering tools , such as AWS, Azure, Microsoft Fabric and Databricks, as well as big data technologies like Hadoop and Spark Skilled in programming languages , including Python, PySpark and Scala, with extensive experience developing robust ETL pipelines and ensuring scalable deployments Experienced in mentoring ...

architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be We offer you the flexibility to work where ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

data estate. Deep expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure ...

data estate. Deep expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure ...

models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. … closely related infrastructure role. Strong proficiency in Python for ML pipeline development, tooling, and automation. Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch ...

Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena ...

Knowledge of data governance, security, and access frameworks Experience working in cloud environments (e.g., Azure, AWS, or GCP) Familiarity with big data tools (e.g., Spark, Databricks) Key Competencies Problem-solving mindset with strong analytical skills Ability to work collaboratively across multiple teams Strong communication and stakeholder management skills Proactive ...

years (Senior) of data engineering experience Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP) Strong proficiency in: Python SQL Spark (PySpark or SparkSQL) Experience building production data pipelines in cloud environments (AWS, Azure, or GCP) Understanding of data modeling, schema design, and metadata management ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...