1 to 25 of 34 Remote/Hybrid Apache Spark Jobs in the UK

business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platformDevelop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta LakeContribute to platform architecture, engineering standards and best practices across the data estateWork with Product, Analytics and Data Science teams … contribute to continuous improvement across the engineering teamJob Requirements: Significant experience building and supporting scalable, production-grade data platformsStrong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environmentsExperience with Infrastructure as Code tools such ...

Skills & Experience Data Engineering & Cloud Extensive experience designing, building and operating production data platforms using Azure Databricks and Azure. Strong hands-on expertise with Apache Spark, PySpark, Spark SQL and Delta Lake. Experience implementing and managing Unity Catalog, including governance, lineage and access controls. Proven delivery ...

with structured streaming, Delta Lake and Delta Live TablesProven experience in Lakehouse migration and modernization using open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/… governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such as Certified Data Engineer Professional or Apache Spark DeveloperWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental ...

while collaborating with the Data & Analytics Lead, technical colleagues and business stakeholders. Experience in the following areas would also be useful: Materialised Lake Views Apache Spark or Python. Power BI semantic modelling. APIs and cloud business system integration. Data governance, lineage and quality frameworks. Professional services experience. What ...

programming skills, with experience developing and maintaining data pipelines Familiarity with ETL/ELT technologies and data streaming tools such as Airflow, Azure, SSIS, Spark or Kafka Experience working with databases and data platforms such as PostgreSQL, SQL Server, Oracle, Snowflake or similar technologies Knowledge of data visualisation tools ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

Knowledge of data modelling, data warehousing and Lakehouse architectures . Experience with data quality, governance and CI/CD pipelines . Exposure to Kafka, Spark Streaming or real-time data processing would be advantageous. Requirements: Ideally 7+ years of commercial Data Engineering experience. Strong hands-on technical background ...

ideal candidate will have: * Experience in data engineering, ideally aerospace/defence or industrial sectors. * ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). * Strong Python and SQL; C++, C#, or MATLAB a plus. * Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. * Data Platform Capabilities ...

skills Experience building data pipelines and integrating data from multiple sources Exposure to technologies such as Power BI, Snowflake, SQL Server, PostgreSQL, Spark, Kafka, Airflow, Docker, and Kubernetes Experience within engineering, manufacturing, industrial, or other complex regulated environments would be advantageous Excellent stakeholder management and problem-solving abilities What ...

requiredDo not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground in time ...

into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

Python and SQL with strong knowledge of data modelling and ETL/ELT processes Solid understanding of Delta Lake, Delta Live Tables, Unity Catalog, Spark Structured Streaming and large-scale data processing Experience with Azure Data Factory (ADF), Qlik Replicate and modern data architecture practices Excellent communication, stakeholder management ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake).Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

Maintain the controls and records needed to support auditing, data traceability and compliance requirements. Performance and operational management Investigate and improve the performance of Spark workloads, Delta tables and SQL compute. Review resource consumption and identify ways to reduce unnecessary platform and cloud expenditure. Set up monitoring and alerting … knowledge sharing and mentoring across the team. What we are looking for Practical experience managing Databricks in a production environment. A strong understanding of Apache Spark, Delta Lake and Unity Catalog. Experience working with one or more major cloud providers, including storage, networking and identity management. Confidence using ...

strong understanding of modern data engineering best practicesYou have experience with Databricks, ideally also AzureYou have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and PandasYou're excited to join a start-up in a role that you can shape and influenceYou ...

into robust approaches and measurable outcomes. Strong practical capability in Python and SQL across data exploration, feature engineering, modelling and validation, with experience of Spark and modern cloud data platforms. Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering and optimisation, including developing and deploying production machine-learning solutions. ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

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 Experience with Python or R for advanced analytics, automation, or experimentation support preferred 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 Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/ ...

large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality, time-stamped, and ready for both training and real-time inference. Design and deploy data collection systems ...

Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running on top of any of the three Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or the native cloud equivalents You’re expected to pick ...

Familiarity with monitoring tools such as CloudWatch, Prometheus or Grafana. Useful additional experience Relevant AWS certifications. Exposure to data-processing environments using Databricks or Apache Spark. The person we are looking for You enjoy making systems easier to run and reducing the need for manual intervention. You investigate problems ...

management and international regulatory compliance. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with … platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in 'Big Data' technology tools like Hadoop/Spark Knowledge of Infrastructure as Code tools like CloudFormation/Terraform If you can bring some of these skills and experiences, along with transferable strengths ...