1 to 25 of 145 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 ...

professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build … optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems ...

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 ...

Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support and optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications … Notebooks for data exploration and development Key Skills & Experience Strong experience with AWS services Expertise in Terraform (Infrastructure as Code) Hands-on experience with: Apache Spark Python Apache Airflow Docker GitLab CI/CD Experience with security scanning tools such as: Trivy Trend Micro Wiz (or similar ...

Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support and optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications … Notebooks for data exploration and development Key Skills & Experience Strong experience with AWS services Expertise in Terraform (Infrastructure as Code) Hands-on experience with: Apache Spark Python Apache Airflow Docker GitLab CI/CD Experience with security scanning tools such as: Trivy Trend Micro Wiz (or similar ...

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 ...

Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives.. This is a hands-on leadership role combining technical delivery, solution … Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark/PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

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 solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data … Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/ ...

data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data … Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/ ...

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 ...

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 ...

streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).* Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting.* Infrastructure Tools: Experience with containerization and orchestration tools like Docker ...

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices code reviews, testing ...

computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google ...

learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow ...

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 ...

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 ...

monitoring. Strong background in CI/CD pipeline design, automation, and maintenance. Hands-on experience with data engineering tools and storage solutions (eg, ADLS, Spark, Databricks, SQL/NoSQL databases). Experience with distributed computing and big data processing frameworks such as PySpark. Knowledge of infrastructure-as-code tools ...