21 of 21 Contract Apache Spark Jobs in the UK

financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis … performance, reliability, and scalability.The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. It is primarily Java-based, with Python strongly encouraged; experience across Java, Python, and Scala is ideal, with Java and Python being the preferred combination.The role sits within ...

financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis … Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong Spark development experience rather than design, infrastructure, or management responsibilities. What you'll need to succeed Strong hands-on experience with Apache Spark ...

Eligibility for UK SC clearance Nice to have (but not essential) Exposure to AWS, Azure or GCP Familiarity with tools such as Airflow, dbt, Spark Awareness of CI/CD pipelines or containerisation Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned ...

Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination ...

Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation … Production ML Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing ...

analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models ...

Proven experience delivering at least one production-grade data platform Strong hands-on capability with modern data engineering tools such as Python, SQL, Airflow, Spark, Kafka, dbt, Snowflake (Essential) Experience with backend technologies (e.g. Java/Spring Boot) Experiencewith cloud platforms (AWS, Azure, or GCP) and cloud-native data ...

warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience ...

environments Strong understanding of data security, governance, and access controls Desirable Experience Experience working within UK defence, intelligence, or national security programmes Exposure to Apache Kafka, Spark, Hadoop, or similar technologies Experience supporting data science or advanced analytics use cases Background working with classified datasets Contract Details Apply ...

experience with data science libraries and frameworks. Expertise in statistical modelling, machine learning, and predictive analytics. Familiarity with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, Azure). Experience working with large, complex datasets and a track record of delivering impactful data science projects ...

frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies (eg, Hadoop, Spark, AWS). Exceptional problem-solving skills and ability to think strategically. Outstanding communication abilities to convey technical concepts to non-technical stakeholders. Experience in managing ...

support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte DBT Apache Spark Grafana FTP/data distribution platforms Financial data experience ...

mindset Support identity, RBAC and governance controls across Azure services Tech stack Azure Azure Databricks Terraform Azure DevOps/CI/CD Python SQL Apache Spark/PySpark Entra ID/RBAC/governance Networking/platform security/automation What were looking for Strong experience in Azure ...

explain technical concepts to varied audiences. Nice to Have Cloud experience: AWS/Azure/GCP . Containerisation: Docker, Kubernetes . Distributed processing: Apache Spark/Flink . Please apply within for further details - Matthew Holmes, Harvey Nash To From Record Yes No Always use these settings ...

Experience auditing and improving existing ML setups * Strong MLOps experience (model versioning, monitoring, CI/CD) * Experience working with data pipelines (ETL/ELT, Spark or similar) * Comfortable working with messy, real-world data and complex business logic * Experience in small, fast-moving teams (startup, scaleup, or consulting) * Strong ...

expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control ...

Kafka Exposure to cloud platforms (AWS, Azure, or GCP) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with distributed data processing tools such as Spark or Flink Additional Information Daily rate: £650-700 Hybrid working model in London Initial contract with strong likelihood of extension McGregor Boyall is an equal ...

hands-on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services.Using , Big Data tools and Spark development you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing … Data Engineering expertise with Big Data technologies. Experience designing and building on-prem data platforms, from high-level architecture to detailed technical design. Strong Spark development experience. Hands-on experience with Hadoop - configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background ...

maintainable code Participating in code reviews, pairing, and team delivery Tech Stack & Environment Backend: Scala, Java (Python desirable) Frontend: HTML, CSS, JavaScript Frameworks: Play, Spark Data: Postgres, MongoDB, Hudi Cloud: AWS (S3, ECS, Aurora, Lambda) DevOps: Jenkins, Airflow, Terraform Monitoring: Kibana, Grafana Ways of working: Agile (Scrum/Kanban … Agile, multidisciplinary teams Strong analytical and problem-solving skills Clear communicator and collaborative team player Desirable Python, Docker, Airflow Big data tools (e.g. Spark, EMR) Experience with data platforms or risk/fraud systems How You'll Work Deliver value iteratively and early Collaborate closely across disciplines Write simple ...

A leading organisation undergoing major investment in its data and engineering capabilities is looking for a Senior Automation QA Engineer to strengthen quality across complex, distributed systems. This role sits at the intersection of software ...

A leading organisation undergoing major investment in its data and engineering capabilities is looking for a Senior Automation QA Engineer to strengthen quality across complex, distributed systems. This role sits at the intersection of software ...