1 to 25 of 157 Apache Spark Jobs in the UK

Description Lead Backend Software Engineer – Data ServicesFederated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | KubernetesLocation: London (2 days per week onsite)Rate: £700–£800 per day (Outside IR35)Duration: Initial 6-month contract with likely extensionOverviewWe're looking for an experienced Lead Backend Software Engineer to join … data services capable of securely querying and processing data across multiple environments. Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks. Design and implement Kubernetes-based services and containerised workloads. Build secure APIs and backend ...

Lead Backend Software Engineer – Data Services Federated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | Kubernetes Location: London (2 days per week onsite) Rate: £700–£800 per day (Outside IR35) Duration: Initial 6-month contract with likely extension Overview We're looking for an experienced Lead Backend Software … data services capable of securely querying and processing data across multiple environments. Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks. Design and implement Kubernetes-based services and containerised workloads. Build secure APIs and backend ...

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 ...

through large-scale distributed processing, structured storage and Data LakeHouse design, to curated consumption by Data Scientists, Analysts, Engineers and AI/ML platforms. Spark and distributed data processing sit at the heart of this architecture; deep fluency in these domains is essentia l. What You’ll Do:Architectural … Leaders hipDefine and evolve the enterprise data architecture strategy, with a primary focus on Cloud-scale Distributed Data Processing using Apache Spark and PySpark at the core of the platf ormEstablish and maintain architectural artefacts, reference architectures, Architecture Decision Records (ADRs), technical standards, and architecture roadmaps ...

through large-scale distributed processing, structured storage and Data LakeHouse design, to curated consumption by Data Scientists, Analysts, Engineers and AI/ML platforms. Spark and distributed data processing sit at the heart of this architecture; deep fluency in these domains is essentia l. What You’ll Do:Architectural … Leaders hipDefine and evolve the enterprise data architecture strategy, with a primary focus on Cloud-scale Distributed Data Processing using Apache Spark and PySpark at the core of the platf ormEstablish and maintain architectural artefacts, reference architectures, Architecture Decision Records (ADRs), technical standards, and architecture roadmaps ...

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. ...

technologies, share knowledge, and contribute to a culture of excellence and innovation. Key responsibilities include: • Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python. • Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services. • Integrate & Automate: Implement ETL processes … Hands-on commercial expertise with Databricks. You should have: • Proven experience as a Data Engineer working with large, complex datasets. • Hands-on expertise with Apache Spark, and SQL. • Strong proficiency in Python (PySpark preferred). • Experience with AWS cloud services including S3, Glue, Lambda, IAM. • Familiarity with ...

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. 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 ...

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 ...

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 ...

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 ...

data warehouses and data lakes. (Preferred) Experienced in data ingestion, processing, transformation, and delivery using batch, streaming, and real-time methods. (Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting, and AWS CLI. (Preferred) Great background in building and managing AWS platforms for analytics and data lake workloads, including application and framework management. (Preferred ...

domain-driven approaches CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform) Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus Engineering & Soft Skills: Strong software ...

domain-driven approaches CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform) Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus Engineering & Soft Skills: Strong software ...

warehousing, and data governance frameworks. Define and enforce best practices, security standards, and performance optimization across Databricks workloads. Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog , and MLflow. Lead cloud architecture design on Azure/AWS/GCP (based on organization need) integrated with Databricks. … years overall experience in data engineering or data architecture. 5+ years of hands-on architecture experience specifically in Databricks . Expert in Apache Spark , PySpark , Databricks SQL , Delta Lake, and distributed systems. Strong understanding of Lakehouse architecture , BI ecosystems, and modern data platforms. Cloud expertise in Azure/ ...

warehousing, and data governance frameworks. Define and enforce best practices, security standards, and performance optimization across Databricks workloads. Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog , and MLflow. Lead cloud architecture design on Azure/AWS/GCP (based on organization need) integrated with Databricks. … years overall experience in data engineering or data architecture. 5+ years of hands-on architecture experience specifically in Databricks . Expert in Apache Spark , PySpark , Databricks SQL , Delta Lake, and distributed systems. Strong understanding of Lakehouse architecture , BI ecosystems, and modern data platforms. Cloud expertise in Azure/ ...

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

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 ...

consultancy or client delivery setting. Proven experience across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services. Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality ...

production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional ...

production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional ...