76 to 100 of 342 Remote Apache Jobs

process. Data Governance Leadership : Drive the development and adherence to data governance standards. Data-Driven Culture Champion : Advocate for the strategic use of data across the organization. Expertise in Apache Spark Advanced proficiency in Python and Pyspark Extensive experience with Databricks Advanced SQL knowledge Strong experience in building and managing CI/CD pipelines. Experience in implementing data integrations More ❯

methodologies. Collaborating with stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data engineering More ❯

integrating Monitoring Tools (Datadog/Kibana/Grafana/Prometheus). Write software using either Java/Scala/Python. The following are nice to have, but not required - Apache Spark jobs and pipelines. Experience with any functional programming language. Writing and analysing SQL queries. Application overVIOOH Our recruitment team will work hard to give you a positive experience More ❯

Linux Understanding of data modelling/data warehouse/data archive/dashboards Experience with databases (e.g. Oracle, MongoDB, RDBMS, SQL) Experience with BI tools (e.g. Tableau) Knowledge of Apache (Kafka) Plus, attitude is key. We’re looking for someone adaptable and resilient, who’s invested in their growth and passionate about taking their career to the next level. More ❯

for data models, ETL processes, and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with More ❯

Azure cloud services across a mixture of Enterprise and SME environments Proficiency in Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Apache Spark Experience with DevOps practices and CI/CD pipelines in an Azure environment is a plus. Certification in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) is highly More ❯

comprehensive documentation for data models, ETL processes, and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity. With Apache NiFI Familiarity with web standards, accessibility, and development best practice Bonus: Building microservices in C# using .Net Experience building solutions that integrate with LLMs using tools such as Vercel More ❯

primarily GCP. Experience with some or all of the services below would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you More ❯

ability to learn others as needed: Distributed or large-scale systems MySQL/SQL database design, query optimization, and administration Web development using HTML, CSS, JavaScript, Vue/React Apache web server and related modules Cloud platforms such as AWS, Google Cloud, Azure CI/CD pipeline setup, testing, and administration Networking and firewall configuration Natural language processing Responsibilities More ❯

Science or similar technical/scientific discipline, backed by minimum A A A grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks More ❯

or Iterative) Scripting and other languages (e.g., sh, csh, bash, ksh, make, imake, XML, HTML, CSS, and/or PERL) Development tools and services (e.g., Eclipse, Spring Framework, JBoss, Apache, Tomcat, Maven, Ant and/or automated test tools) Familiarity with server-side Java/JEE development User Interface development tools for the JEE stack Java Frameworks such as More ❯

and static site generation (SSG) in Next.js Experience with testing frameworks like Jest, Cypress, or React Testing Library. Experience with authentication strategies using OAuth, JWT, or Cognito Familiarity with Apache Spark/Flink for real-time data processing is an advantage. Hands-on experience with CI/CD tools Commercial awareness and knowledge of public sector. Excellent communicator, able More ❯

experience managing data infrastructure or platform teams at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems - including experience with Databrick, Apache Spark, Apache Kafka and DBT. Demonstrated success in managing data platforms at scale, including both batch processing and real-time streaming architectures. Deep understanding of data warehousing concepts More ❯

MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or More ❯

for deployment and workflow orchestration Solid understanding of financial data and modelling techniques (preferred) Excellent analytical, communication, and problem-solving skills Experience with data engineering & ETL tools such as Apache Airflow or custom ETL scripts. Strong problem-solving skills with a keen analytical mindset especially in handling large data sets and complex data transformations. Strong experience in setting up More ❯

for deployment and workflow orchestration Solid understanding of financial data and modelling techniques (preferred) Excellent analytical, communication, and problem-solving skills Experience with data engineering & ETL tools such as Apache Airflow or custom ETL scripts. Strong problem-solving skills with a keen analytical mindset especially in handling large data sets and complex data transformations. Strong experience in setting up More ❯

data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from various internal and external sources. Leverage big data technologies such as Apache Spark, Kafka, and Scala to build robust and scalable data processing systems. Write clean, maintainable code in Python or Scala to support data transformation, orchestration, and integration tasks. Work More ❯

data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from various internal and external sources. Leverage big data technologies such as Apache Spark, Kafka, and Scala to build robust and scalable data processing systems. Write clean, maintainable code in Python or Scala to support data transformation, orchestration, and integration tasks. Work More ❯

tools like JUnit, Git, Jira, MongoDB, and React Familiarity with cloud platforms (especially AWS), microservices, and containerisation DV clearance (or eligibility to obtain it) Nice to Have: Experience with Apache NiFi, JSF, Hibernate, Elasticsearch, Kibana, or AWS services like EC2, Lambda, EKS CI/CD pipeline expertise using GitLab Knowledge of secure, scalable architectures for cloud deployments O.K. I More ❯

best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS More ❯

with cloud platforms (GCP preferred). Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. Proficiency in Python and SQL (or similar More ❯