1 to 25 of 123 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 ...

quality and consistency across platforms while complying with governance policies. What You Bring: Core Development Skills:- Proficient in Python and SQL, with experience in Apache Spark.- Strong experience building backend services and APIs. Database Expertise:- Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB ...

quality and consistency across platforms while complying with governance policies. What You Bring: Core Development Skills: - Proficient in Python and SQL, with experience in Apache Spark. - Strong experience building backend services and APIs. Database Expertise: - Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB ...

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 ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure ...

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 ...

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 ...

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 ...

strategy. What We're Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning ...

strategy. What We're Looking For Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning ...

project stakeholders; Strong problem-solving skills; Ability to refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs ...

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 ...

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 ...

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 ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

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. ...

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 ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

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 ...

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 ...

high-growth 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 technologies ...