1 to 25 of 149 Apache Jobs in England

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain ...

however Azure exposure is essential. Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security. Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular ...

however Azure exposure is essential. Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security. Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular ...

Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment today. ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

platform, features, and best practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such ...

experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR ...

Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g. ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures. Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication ...

governance, and compliance in AWS Required Skills & Experience Strong experience in Python for data engineering and pipeline development Hands-on experience with PySpark/Apache Spark Advanced proficiency in SQL (query optimization, window functions, CTEs) Experience with AWS data warehousing tools, including: o Amazon Redshift & RDS o AWS Glue ...

Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake ...

Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks ...

data stack (Glue, OpenSearch, RDS) Expert skills within SQL with experience in both transactional RDBMS systems and distributed systems Hands-on with Lakehouse technologies (Apache Iceberg, S3 Tables, StarRocks) Strong grasp of data governance, schema design, and quality frameworks Comfortable leading infrastructure decisions and collaborating across distributed teams This ...

using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...