1 to 25 of 137 Apache Jobs in the UK excluding London

supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

Python, Java or Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data platforms ...

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 ...

automation capabilities, to improve the value realized by automation Required qualifications, skills and capabilities Experience with building data pipelines on Databricks and/or Apache Spark in production. Strong coding skills in Python (PySpark) and SQL (Scala a plus). Hands-on experience with Delta Lake (MERGE/UPSERT ...

technologies as our stack evolves.Nice to HaveExperience with stream processing frameworks such as Flink or Spark Streaming.Experience with task orchestration tools such as Apache Airflow or similar systems.Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT.Experience working with and designing infrastructures for large-scale data processing ...

stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices ...

automation capabilities, to improve the value realized by automation Required qualifications, skills and capabilities Experience with building data pipelines on Databricks and/or Apache Spark in production. Strong coding skills in Python (PySpark) and SQL (Scala a plus). Hands-on experience with Delta Lake (MERGE/UPSERT ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

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 Hands ...

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 ...

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 ...

large-scale 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, and lineage best ...

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 ...

volume, data-intensive environments. Extensive AWS experience including services such as Glue, Lambda, S3, Redshift, and wider cloud-native data tooling. Strong knowledge of Apache Spark and large-scale data processing. Experience working with streaming technologies such as Kafka. Expert SQL and data modelling capabilities. Experience designing modern data ...

Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue Apache Airflow IAM AWS Lambda (desirable) Preferred Experience Financial Services or Banking sector experience. Experience working within regulated environments. Large-scale cloud transformation programmes. Agile ...

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 ...

/ML Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

Skills MUST HAVE: Strong hands-on experience with Quantexa implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud ...

platform and lakehouse transformation journeys What We're Looking For Strong commercial experience in Data Engineering Hands-on experience with Databricks and/or Apache Spark Strong PySpark and SQL development skills Experience designing, building and supporting data pipelines Experience working with Azure or AWS Good understanding of modern ...

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 ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering ...

inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices ...