1 to 25 of 123 Apache Spark Jobs in the UK

systems are developed and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers … services. Programming Prowess: Strong programming skills in Python and SQL are essential. Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect. ML Data Acumen: Solid understanding of data requirements for machine ...

Data Engineer Salary up to £60,000 + 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 chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data … 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 ...

capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate Databricks with cloud … stakeholders to deliver scalable data solutions Required Skills & Qualifications Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional) Strong experience with Databricks, Apache Spark, and Delta Lake Proficiency in Python, SQL, and data pipeline development Experience with cloud platforms (Azure, AWS, or GCP) Solid understanding of modern ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

flexibility to attend key meetings onsite. Required: Good knowledge and experience using programming languages such as Python, Java or SQL and tools such as Apache Spark or in this instance LakeFS, for data processing and management. Useful: R, Apache Spark Very Useful: Python, SQL, JSON, LakeFS ...

data sets can be effectively combined and analysed. They can also utilise programming languages such as Python, Java or SQL and tools such as Apache Spark or in this instance LakeFS, for data processing and management. Useful - R, Apache Spark Very useful - Python, SQL, JSON, LakeFS. ...

direction within your team Required Skills and Experience Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Skills & Experience Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments. Experience implementing and configuring training simulation ...

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/ ...

downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data governance, security … practice routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure ...

logic into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages ...

data platform and engineering capability as the business continues to scale its trading operations. They are looking for a Data Engineer with strong Apache Airflow experience to help design and build the pipelines that power trading, analytics and commercial decision-making. This is a great opportunity to join … platform and the opportunity to work with modern open-source technologies . What You’ll Be Doing Designing and building data pipelines orchestrated with Apache Airflow Developing ETL/ELT workflows in Python and SQL to process trading and operational data Building reliable, scalable data infrastructure to support analytics ...

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 ...

analytics environments. Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. Familiarity with data visualisation tooling such as Plotly. Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive ...

Start Date: ASAP Contract: Permanent Location: Hybrid role (Manchester, London or Edinburgh) Salary: £60,000-£75,000 Essential Requirements: Strong Azure experience Python, Apache Spark, SQL Experience with either Microsoft Fabric, Databricks or Snowflake Proven delivery of multiple solutions using Data Governance , Data Migration , Data Modelling , ETL/ ...

Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

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 ...

applications. Knowledge of MLOps, DevOps, CI/CD, and automated model pipelines within Foundry and cloud-based environments. Familiarity with big data ecosystems (Foundry, Spark, Hadoop) and commercial data source integration. ...

deliver high-quality, consumable datasets while contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding ...

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 ...