151 to 175 of 274 Apache Spark Jobs in the UK excluding London

Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance ...

ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java ...

ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java ...

performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout … data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML ...

also have Experience developing or using AI applications Experience with NoSQL databases (e.g. MongoDB). Experience with big data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. ...

tools (eg, Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, GCP, Azure) is desirable. ...

experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark. Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog, Delta … Lake, and Apache Spark Implement advanced Delta Lake features including time travel, vacuum operations, and Z-ordering. Desirable: certification in Databricks Data Engineer and/or Azure Data Engineer are a plus. ...

experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark. Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog, Delta … Lake, and Apache Spark Implement advanced Delta Lake features including time travel, vacuum operations, and Z-ordering. Desirable: certification in Databricks Data Engineer and/or Azure Data Engineer are a plus. ...

high-quality, secure, and scalable data solutions gaining exposure to multiple cloud platforms (AWS, Azure, OCI, GCP) and technologies such as Palantir Foundry, Databricks, Spark, and Airflow. Other times you will be working directly with the client, using your analytical and data skills to support their decision-making. … Eligible for UK Security Clearance (or 5+ years UK residency . Desirable Skills & Exposure Familiarity with data lakes, warehouses, or streaming architectures (e.g. Databricks, Spark, Kafka). Experience with ETL tools, orchestration frameworks, or automation pipelines. Understanding of version control and CI/CD (e.g. GitHub, Azure DevOps). ...

experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog … Delta Lake, and Apache Spark Implement advanced Delta Lake features including time travel, vacuum operations, and Z-ordering. Desirable: certification in Databricks Data Engineer and/or Azure Data Engineer are a plus. ...

Data Engineer (Hybrid) Bristol – Spark, S3, Redshift, Lambda, EMR, Glue Avanti Recruitment is working with a rapidly growing technology business in Bristol to recruit a talented AWS Data Engineer to join their team. You will help build and evolve their AWS cloud-based data infrastructure. You’ll work with … scalable pipelines and delivering reliable data to teams across the organisation. In this role, you will develop and maintain ETL and ELT workflows using Apache Spark, Python and AWS Glue, while architecting solutions that make extensive use of AWS services including S3, Redshift, EMR, Lambda, Kinesis, DynamoDB ...

Nginx, Redis, Event driven programming, Message queues, RDBS, NoSQL Database, Data Streams, real time distributed computing. 15. Experience in DevOps and release pipelines 16. Apache Camel 17. Postgresql Good to Have: 1. OBIEE Knowledge 2. TOGAF Certified 3. Splunk 4. Hadoop/EMR/Apache Spark Experience ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We're Looking For 3-4 years' experience in AI/ML engineering, data engineering ...

MLOps: experiment tracking (e.g., MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & real-time inference. Data pipelines: Spark/SQL, orchestration (Airflow), monitoring for drift/perf. Nice to Have Cost/performance optimisation on AWS; GPU scheduling; quantisation/distillation. Experience ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/ ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/ ...