26 to 50 of 416 Apache Jobs in the UK

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience ...

control systems such as Git. Knowledge of cloud-based data platforms and modern data engineering practices. Desirable Skills Experience with Scala development. Experience with Apache Spark or other distributed data processing frameworks. Experience with Kafka, Event Hubs, or other streaming technologies. Exposure to cloud platforms such as Azure ...

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 ...

maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous ...

understand where traditional patterns remain appropriate – and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark).Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps 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 ...

within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding experience ...

engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience working ...

supported by solid software engineering fundamentals (version control, testing, CI/CD). Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. Experience designing and operating cloud-native data platforms (AWS or Azure preferred ...

with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement ...

data transformation and orchestration processes Extensive Experience with AWS services including IAM Lambda EKS S3 Data Lake EMR PySpark MWAA and Lakehouse technologies, Apache Iceberg Proven expertise with Snowflake including performance tuning and efficient query design Experience with batch pipelines eg StreamSets and streaming technologies eg Kafka Nice ...

data pipelines, orchestration, and automation; Solid software engineering fundamentals, including version control, testing, and CI/CD; Experience with workflow orchestration frameworks such as Apache Airflow; Experience with cloud-native data platforms, preferably AWS or Azure; Experience with enterprise data warehouses, preferably Snowflake; Experience with performance tuning, cost controls ...

data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security ...

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 ...

with Snowflake and Databricks native solutions. Experience on Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL and NoSQL). Familiarity with cloud platforms (AWS, Azure) and their data services. Understanding of data ...

data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security ...

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 ...

similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last ...

technology partners. Knowledge of enterprise data platforms, data engineering, data governance, and analytics ecosystems. Experience supporting large-scale transformation programmes. Understanding of Power BI, Apache Superset, Grafana, and enterprise reporting solutions. Strong knowledge of CI/CD pipelines and automation technologies. Experience with Terraform, Ansible, PowerShell, Python, or similar ...

Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines ...

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 ...

Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

comfort working through ambiguity. Desirable MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation. Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed training ...

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 ...

pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift or equivalent ...