51 to 63 of 63 Apache Spark Jobs in London

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 ...

team engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder ...

with EKS) Proficiency in Git-based development workflows Experience working independently and communicating effectively in distributed teams Desirable : Familiarity with (or happy to learn): Apache Spark (EMR) and Delta Lake PostgreSQL (Aurora) CI/CD (Github Actions) and IaC (Helm, CloudFormation) Monitoring (Sentry) Knowledge/interest in research … improve the TypeScript/React-based frontend application. Build and manage containerised services deployed on AWS, utilising Kubernetes orchestration. Support data and transformation workflows (Spark) Diagnose, troubleshoot, and improve overall application performance. Handle and resolve live production issues efficiently and under time pressure. Collaborate closely with product and data ...

data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data … expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and integrating data via APIs and custom scripting Strong analytical thinking ...

production-ready PySpark code. Strong understanding of data and data warehousing concepts, including: ETL/ELT, Data models, Dimensions and facts, Data marts, SCDs Spark Performance & Optimisation Strong knowledge of Spark execution concepts, including partitioning, optimisation, and performance tuning. Experience troubleshooting and improving distributed data processing pipelines. Python ...

data transformation processes. Cloud & Data Engineering (AWS-Focused) Build and deploy data pipelines using AWS services such as EMR, Glue, S3, Athena . Optimise Spark workloads for performance, partitioning, cost efficiency, and scalability. Use CI/CD pipelines and Git-based version control for deployment and automation. Collaborate with … Ability to write production-grade data engineering code. Strong understanding of: ETL/ELT Data modelling Facts & dimensions Data marts Slowly Changing Dimensions (SCDs) Spark Performance & Optimisation Expertise in Spark execution, partitioning, performance tuning, and optimisation. Troubleshooting distributed data pipelines at scale. Python & Engineering Quality Strong Python coding ...

data engineering projects. Responsibilities Design, build and deliver data solutions using Databricks Develop and optimise ETL/ELT data pipelines using Spark, Python and SQL Build and maintain data lakes and data warehousing solutions Collaborate with stakeholders to deliver scalable and insight-driven data platforms Contribute to projects involving … Snowflake, Azure Data Factory, Synapse or Microsoft Fabric Skills and Experience Strong experience with Databricks with either Azure or AWS Strong SQL, Python and Spark expertise Proven track record delivering data engineering solutions across full project lifecycles Strong understanding of data modelling and modern data architectures Ability to engage ...

ensure data quality as the platform scales. ·The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. ·You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. ·You'll be joining … gives engineers the space to contribute in their own way. What we're looking for: ·Strong Python and SQL experience in production ·Experience with Spark, Snowflake, BigQuery or similar ·Cloud experience (AWS, GCP or Azure) ·Comfortable working with complex, messy data ·Experience owning pipelines end-to-end ·Collaborative mindset ...

with Azure Cosmos DB including query optimisation and throughput management Thorough understanding of Cosmos DB Change Data Feed (CDF) and integration and debugging of Spark with Cosmos CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High … technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure services including Azure Functions, App Services, AKS, and Logic Apps. Experience with SQL API and familiarity with other APIs. Strong understanding of partitioning, indexing, and consistency levels. Experience with ...

Lead Data Engineer Tech Stack: Python | Spark | Kafka | Airflow | Vector DBs Location: London - office based Salary: Up to £140k + equity We’re partnering with a well-funded AI startup building a category-defining platform within a major UK industry undergoing rapid transformation. This is a first data hire … What we’re looking for: • 7+ years in Data/Backend Engineering • Strong Python and distributed systems experience • Hands-on with modern data tooling (Spark, Airflow, Kafka, etc.) • Experience with relational + NoSQL databases (vector DBs a big plus) • Comfortable in a fast-paced, early-stage environment 💡 High ownership ...

Head of Engineering - Remote - UK - £90,000-£130,000 GenAI, ML, Spark Why Join This Company? This is a leadership role for someone who wants to work in a truly AI-first engineering environment, not a business experimenting at the edges. The company is already well ahead … solving rather than legacy ways of working. You'll Work With Cross-functional teams spanning: Web Engineering (React/TypeScript) Data Engineering (distributed systems, Spark-based platforms) Data Science & Machine Learning A highly technical CTO who is deeply invested in AI adoption and modern engineering Product leadership following significant ...

DataEngineer-RemoteWorking LynxarecurrentlyworkingwithalargeITconsultancytohelpthemsourceaDataEngineer.OurclientislargeglobalConsultancywhoworkwithenterpriseclients,solvingtheirbusinessandtechnologyproblemsusingcuttingedgesolutions. Asa DataEngineer ,youwillplayakeyroleindesigning,building,andmaintainingrobustdataplatformsandpipelines.Youllworkalongsidedatascientists,analysts,andengineerstoensurereliable,scalable,andhigh-qualitydatasolutions. Whatyoullbedoing: Designingandbuildingdatapipelines,models,andarchitectures DevelopingandmaintainingETL/ELTprocessesusingmoderntools Implementingdatastoragesolutionsacrossrelational,non-relational,andcloudplatforms Ensuringdataquality,reliability,andoperationalexcellence Leadingthedesignanddeliveryofnewdataproductsandpipelines Collaboratingcloselywithstakeholdersandtechnicalteams Providingtechnicalleadershipandmentoringwithindeliveryteams Whattherelookingfor: Strongexperienceindataengineeringroles Provenleadershiporlinemanagementexperience Hands ...

Senior DataEngineer-RemoteWorking LynxarecurrentlyworkingwithalargeITconsultancytohelpthemsourceaDataEngineer.OurclientislargeglobalConsultancywhoworkwithenterpriseclients,solvingtheirbusinessandtechnologyproblemsusingcuttingedgesolutions. Asa DataEngineer ,youwillplayakeyroleindesigning,building,andmaintainingrobustdataplatformsandpipelines.Youllworkalongsidedatascientists,analysts,andengineerstoensurereliable,scalable,andhigh-qualitydatasolutions. Whatyoullbedoing: Designingandbuildingdatapipelines,models,andarchitectures DevelopingandmaintainingETL/ELTprocessesusingmoderntools Implementingdatastoragesolutionsacrossrelational,non-relational,andcloudplatforms Ensuringdataquality,reliability,andoperationalexcellence Leadingthedesignanddeliveryofnewdataproductsandpipelines Collaboratingcloselywithstakeholdersandtechnicalteams Providingtechnicalleadershipandmentoringwithindeliveryteams Whattherelookingfor: Strongexperienceindataengineeringroles Provenleadershiporlinemanagementexperience ...