26 to 50 of 117 Apache Spark Jobs in the UK

workflow management tools Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL) Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop) Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services, with proven data governance and security practices Strong programming skills ...

client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both. • Databricks/Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms … important for assessing and scaling the right approach • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales • ETL/ELT pipeline design — building and maintaining pipelines ...

quality and reliable deliverables. Optionally contribute to on-call platform support where required. What We’re Looking For Technical Expertise Strong experience with Databricks, Apache Spark, and cloud-based data architectures (preferably Azure). Excellent programming capability in Python and SQL. Experience orchestrating pipelines with Azure Data Factory ...

making. Collaborating with engineering teams and stakeholders to solve complex technical challenges. Technology exposure Typical environments include: Python, SQL and modern data engineering tooling Spark, Databricks and distributed data platforms AWS, Azure and Google Cloud Modern data lake and data warehouse architectures Who we’re keen to speak with ...

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. ...

Vault . Hands-on experience exposing Lakehouse solutions to BI tools (e.g. Power BI , Tableau ). Proficiency in Databricks Workflows , Delta Live Tables , and Spark for batch and streaming pipelines. Strong programming capability in Python , Scala , and/or SQL . Practical experience with at least one major cloud ...

Skills & Experience * Proven experience delivering enterprise-scale Databricks solutions end-to-end. * Strong background in Lakehouse Architecture, including structured and unstructured data. * Expertise in Spark, PySpark, Delta Lake, and Databricks workflows. * Experience building scalable ETL/ELT pipelines, including Delta Live Tables. * Strong programming skills in Python, Scala ...

Skills & Experience * Proven experience delivering enterprise-scale Databricks solutions end-to-end. * Strong background in Lakehouse Architecture, including structured and unstructured data. * Expertise in Spark, PySpark, Delta Lake, and Databricks workflows. * Experience building scalable ETL/ELT pipelines, including Delta Live Tables. * Strong programming skills in Python, Scala ...

excels in distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault Mandatory and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus ...

excels in distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault Mandatory and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus ...

excels in distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus ...

Salesforce data ingestion experience Exposure to NoSQL databases such as MongoDB, Cassandra, or DynamoDB Experience supporting Power BI and Tableau reporting Proficiency in Python, Spark, or similar data engineering tools Understanding of AI and ML trends Strong communication and stakeholder management skills ...

autonomous systems. Technical Self-Assessment (1-10) Candidates will be asked to rate their knowledge of: Languages: Python, Java, Scala Compute/Distributed: RAY , Spark, Databricks, Hadoop Orchestration/Cloud: Kafka, Airflow, Prefect, AWS Storage/Warehouse: Clickhouse, Snowflake, Redshift, Greenplum Note: Experience with Petabyte/Exabyte scale ...

efficiency. Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers. Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Improve engineering standards, processes, and tooling ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence ...

architecture into production-ready platforms • Solving complex data challenges across highly secure and technically demanding environments Technology exposure Typical environments include: • Python and SQL • Spark, Databricks and distributed data processing platforms • AWS, Azure and Google Cloud • Modern data lake, lakehouse and warehouse architectures Who we’re keen to speak ...

uplift practices and delivery maturity. Required Technical Skills & Expertise AWS Data & Analytics (Hands-On Expertise) AWS Glue (ETL/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions Experience with Open Table Formats: Delta Lake Apache Hudi Strong ...

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 ...

security controls. Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services Palantir Foundry Stakeholder Engagement ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...