25 of 25 Remote/Hybrid Apache Spark Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Kafka Exposure to cloud platforms (AWS, Azure, or GCP) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with distributed data processing tools such as Spark or Flink Additional Information Daily rate: £850 - £900 Hybrid working model in London Initial contract with strong likelihood of extension McGregor Boyall is an equal ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing … Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

Kubernetes Strong Git-based development workflows Experience delivering features end-to-end in distributed teams Confident troubleshooting production issues in real time Desirable Skills Apache Spark (EMR) & Delta Lake PostgreSQL (Aurora) CI/CD using GitHub Actions IaC (Helm, CloudFormation) Monitoring tools (Sentry) Role Responsibilities … React frontend Build and maintain Dockerised microservices deployed to AWS (EKS) Troubleshoot and optimise performance across the stack Support data ingestion and transformation pipelines (Spark-based) Work cross-functionally with product and data specialists Help shape new features and influence engineering standards This role is 100% hands-on engineering ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

e.g. Pandas, NumPy, Matplotlib) Data visualisation using Power BI or Tableau ideal Familiarity with Agile delivery methodologies Microsoft Fabric Power Apps, Power Automate, Dataverse Apache Spark/PySpark ...

will be working across different client setups. Typically, that includes: AWS, Azure and GCP depending on the project Tools like Databricks, Snowflake and Synapse Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or Kinesis You will use your expertise to choose the right ...

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 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 ...

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 ...

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 ...