1 to 25 of 223 Apache Spark Jobs in London

analysis and returning the results to various business systems. We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components … ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; Distributed event streaming platforms, such as Apache Kafka or similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

design, develop, deploy, and optimize scalable data solutions on Microsoft Azure. The ideal candidate will bring strong hands-on expertise in Azure Databricks, Apache Spark, PySpark, Python, and SQL, with proven experience building production-grade data pipelines, implementing governance through Unity Catalog, and automating deployments using GitLab-based …/CD and Databricks Asset Bundles. Key Responsibilities Design, build, test, and maintain scalable batch and streaming data pipelines using Azure Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake. Develop reusable ETL and ELT frameworks for data ingestion, transformation, validation, and publishing across lakehouse layers. Design ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale ...

owned infrastructure. You'll work as part of a technical team building and supporting data pipelines using Python, Azure and Kubernetes, alongside technologies including Apache Airflow and Apache Spark. Key Responsibilities: Build and maintain new and existing data pipelines Develop data solutions using Python, Azure and Kubernetes Work … with Apache Airflow and Apache Spark Support the ongoing development and improvement of the data platform Ensure data remains securely hosted on MoD-owned infrastructure Collaborate with wider technical and delivery teams Troubleshoot and resolve technical issues across existing data pipelines Required Experience: Strong commercial experience ...

intersection of consulting, technology, innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data … translate business needs into Databricks-led solution designs, build prototypes and proof points. Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Build, lead ...

intersection of consulting, technology, innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data … translate business needs into Databricks-led solution designs, build prototypes and proof points. • Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership ...

root‐cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark . Working knowledge of common data formats such as JSON , Avro and Parquet . For More Experienced Candidates Stronger ownership of technical … should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised ...

product managers, to understand data requirements and deliver high-quality solutions Architect and implement data ingestion, transformation, and storage processes using tools such as Apache Spark, Azure Data Factory, and other similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior … Engineering, or a related field 7+ years of experience in data engineering, with at least 3 years in a leadership role Strong proficiency in Apache Spark, Azure Data Factory, and other data pipeline tools Experience with cloud platforms such as Azure, AWS, or GCP Solid understanding of data ...

Senior Data Engineer (Databricks) - London (Hybrid) - Up to £85,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a fast-growing technology business that's investing heavily in its data platform and engineering capability. This is an opportunity to join a highly collaborative team … progression within a growing technology business. Key Experience Required Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python, and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre‐sales or post‐sales experience working with external … clients across a variety of industry markets. Minimum of 5+ years of customer‐facing experience would be preferred [Preferred] Experience working with Apache Spark to process large‐scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non‐technical audiences. Core ...

frameworks, tools and applications that make that data available to other teams and systems. Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.**What You'll Do:*** Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics* Design, develop, and maintain ultra-high-scale data platforms that process petabytes of data* Participate in technical reviews of our products and help ...

DevOps knowledge, including Linux/Unix, OpenShift/Kubernetes, and Ansible. Experience building and supporting reactive, event-sourced systems. Hands-on experience with Apache Spark and Apache Flink. Strong understanding of Apache HTTP, Envoy, and REST API design. Experience working with Protobuf, Avro, and Parquet data ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

ingestion, incremental loading, and change data capture. Design and implement layered data models and transformation logic (raw, conformed, aggregated) using tools such as dbt, Spark, and cloud‐native processing services, ensuring data is clean, consistent, and ready for downstream consumption. Develop modular, reusable data transformation components and functions that … tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. ...

wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar ...

across the team and support the continued growth of Unifeye. What You'll Do Design and build scalable batch and streaming data pipelines using Spark and Databricks. Develop modern Lakehouse architectures using Delta Lake and Medallion (Bronze, Silver and Gold) design principles. Build robust ingestion frameworks from APIs, files … pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with ...

platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns … Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well ...

delivery across a range of projects, including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases ...

strategic planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform: Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda ...