1 to 25 of 143 Apache Jobs

caliber and skill profile of the engineers you'd be leading, the team typically brings hands-on experience across: Big Data & Processing: Apache Spark (PySpark), Databricks (Delta Lake), Azure Data Factory, Azure Synapse, Kafka, Event Hub/Event Grid Cloud Platforms: Azure (ADLS, AKS, Azure Functions, Cosmos DB, Azure ...

similar hands-on leadership role Strong hands-on expertise in Python Extensive experience with Databricks, including workflows, notebooks and Delta Lake Strong experience with Apache Spark/PySpark Experience building and optimising enterprise-scale ETL pipelines Strong understanding of modern data architecture and Lakehouse concepts Advanced SQL and distributed ...

highly regulated enterprise environments. Strong hands-on expertise in Python Proven experience with Databricks, including notebooks, workflows, jobs and Delta Lake Strong knowledge of Apache Spark/PySpark Experience designing and delivering large-scale ETL/ELT pipelines Advanced SQL skills and experience with relational databases Experience working with ...

with cloud data warehouse technologies including Snowflake, Redshift or BigQuery. Data Pipeline & Streaming Experience Experience with dbt for data transformation and modelling. Knowledge of Apache Airflow or similar orchestration tools such as Prefect or Dagster. Experience with streaming platforms such as Kafka, StreamSets, AWS Kinesis or Flink. Engineering Practices ...

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 ...

Engineer, Principal Data Engineer or Technical Lead within a large-scale, data-driven organisation Strong hands-on software engineering expertise with Python, PySpark and Apache Airflow Deep experience designing and building distributed data processing systems and large-scale data platforms on AWS Strong knowledge of modern AWS data technologies ...

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 ...

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 Reporting tools ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

PySpark. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Exposure to data warehousing solutions like Snowflake, BigQuery, or Redshift. Understanding of Apache Airflow, Kafka, Spark, or Hadoop. Knowledge of REST APIs and JSON data formats. Basic understanding of data visualization tools such as Power ...

others. Active SC Clearance, or eligibility to obtain. Desirable: SAS Viya for data analytics. Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). Denodo for data virtualisation. Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). ALM Tooling (Jira, Confluence). ...

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 ...

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 ...

/CD pipelines and deployment automation. • Familiarity with monitoring, logging, and observability tools. • Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. • Experience using Git and collaborative development workflows. • Basic scripting skills using Shell or Python. • Understanding of containerisation concepts using Docker. • Strong problem-solving ...

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 ...

Lead Backend Software Engineer – Data Services Federated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | Kubernetes Location: London (2 days per week onsite) Rate: £700–£800 per day (Outside IR35) Duration: Initial 6-month contract with likely extension Overview We're looking for an experienced Lead Backend Software Engineer … data services capable of securely querying and processing data across multiple environments. Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks. Design and implement Kubernetes-based services and containerised workloads. Build secure APIs and backend services ...

grade data pipelines. Familiarity with Git, CI/CD and Agile delivery practices. Excellent communication and stakeholder engagement skills. Nice to Have Experience with Apache Airflow for workflow orchestration. Experience with Databricks . #dataengineer #aws #snowflake #dbt #airflow #databricks #contractrole #outsideir35 Reasonable Adjustments: Respect and equality are core values ...

developing others. Desirable to have skills or experience in: - SAS Viya for data analytics. - Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). - Denodo for data virtualisation. - Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). - ALM Tooling (Jira, Confluence). ...

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 ...

based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding of partitioning, indexing strategies ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders ...

data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders ...

alerting. Minimum requirements: 3+ years of experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code ...

with the ability to deliver incremental data modelling solutions in collaboration with engineering teams. Technical Environment (Desirable) Microsoft Fabric Azure Data Factory Python PySpark Apache Spark Desirable Skills Azure DevOps Contract Details Sector: Banking/Financial Services Location: London – Office based 4 days per week Contract Type: TBC Start ...