1 to 25 of 111 Permanent Apache Jobs in London

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, encompassing ...

understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable ...

engineers and support code reviews, design reviews, and engineering best practices. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. Experience with Spark ...

market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering ...

self‐motivated, inquisitive mindset and a methodical, agile approach to problem‐solving Solid Linux administration and networking skills, plus Git‐based workflows Familiarity with Apache Airflow, Dask and JupyterHub Experience with modern build systems (especially Bazel) and CI/CD pipelines. We love hearing from anyone inspired to build ...

Experience with Infrastructure-as-Code tools such as Terraform Knowledge of DevOps, CI/CD, platform automation, and cloud‐native operational practices Familiarity with Apache Spark, dbt, and modern data integration technologies Delivery Experience Experience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives Proven success ...

Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team. ...

innovation-led working environment Key Experience Proven experience as a Data Architect, Databricks Architect, Lead Data Engineer or Solutions Architect Strong expertise in Databricks, Apache Spark, PySpark and SQL Experience designing and implementing modern data lake or lakehouse architectures Hands-on experience with Kafka Strong understanding of AWS data ...

Ideally will be a bonus if you have the following... Experience or knowledge of FluxCD, GitOps workflow, Appgate, MongoDB, Airflow (MWAA), Snowflake Experience in Apache Airflow (MWAA), AWS Backup and S3 versioning for business continuity. Programming experience in C#, Python and/or SQL Experience in Keycloak or other ...

Understanding of Azure data services and API-based integration. Next.js 14, FastAPI Python, Pipeline orchestration, Data transformation, Data quality, Casbin RBAC, Kuzu knowledge graph, Apache Iceberg, MCP AI server integration and ODCS v2 data contracts layer. Experience in establishing the infrastructure, pipelines, processes, and governance required for production environment ...

consultancy environments Senior Data Engineering Consultant | DESIRED SKILLS Experience working across multi‐cloud platforms including Azure, AWS, or hybrid data environments Exposure to Databricks, Apache Spark, Azure Synapse, or similar distributed processing technologies Familiarity with systems integration and API development including REST‐based services Experience supporting pre‐sales activities ...

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 Why Apply ...

best practices and coding standards. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Apache Airflow, Spark, SQL, Python, and ETL tools. CI/CD & DevOps Design and implement CI/CD pipelines for data platforms. Automate code deployment ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. EEO Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs ...

strong philosophy around automated test coverage Knowledge of financial products equity, swaps, futures & fx Experience working with NoSQL database Mongo DB Experience working with Apache Flink #J-18808-Ljbffr ...

strong philosophy around automated test coverage* Knowledge of financial products equity, swaps, futures & fx* Experience working with NoSQL database Mongo DB* Experience working with Apache Flink### About Us**Who we are**Brevan Howard Investment Management is one of the leading absolute return/hedge fund managers, overseeing assets ...

ideal candidate will have a strong programming background in Python or Java, knowledge of SQL, and experience with data processing frameworks such as Apache Spark. Responsibilities include enhancing data pipelines, ensuring data quality, and collaborating with engineering teams. The position is located in London and offers significant growth opportunities ...

support data pipelines, ensuring they are production-ready and meet data quality standards. You will work with technologies such as Python, SQL, and Apache Spark, helping drive analytics and operational decision-making. Ideal candidates possess strong programming skills, a relevant degree, and a collaborative spirit, as you will partner ...

engineering mindset and experience building production-grade systems Experience developing ETL processes and large-scale financial data pipelines Strong Azure experience Docker and Kubernetes Apache Airflow GitHub and CI/CD (GitHub Actions) Experience building cloud-native research or production platforms Experience working with market data, security master data ...

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models ...

deployment. Expert‐level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ingestion through to real‐time serving - your system designs will need to meet downstream ...