8 of 8 Remote Apache Jobs in the South East

. AWS Platform Build: Demonstrable 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 processing, scripting, and automation). More ❯

of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience More ❯

data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to More ❯

GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines, ideally using GitLab CI. ·Background working with media, marketing, or advertising data. The Opportunity: ·Work alongside smart, supportive teammates More ❯

Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/CD/release pipelines. Data Fundamentals: Excellent SQL More ❯

expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You'll act as the first line of defense for data-related incidents, rapidly diagnose root causes, and implement resilient solutions that keep critical reporting … and batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions, EMR, Lambda, Redshift) integrated with Apache Flink and Kafka. Troubleshoot & Maintain Python-based applications. Harden CI/CD for data jobs: implement automated testing of data schemas, versioned Flink jobs, and migration scripts. Performance Optimization More ❯

Kubernetes (with Helm and Flux) for managing services GitLab for CI/CD and version control AWS as our infrastructure platform PostgreSQL for application data and event sourcing architecture Apache Flink for real-time service interactions and state management Responsibilities Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support … hosted environments (e.g. AWS). Solid RDBMS experience, preferably with PostgreSQL Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform). Experience of maintaining your own code in a production environment. A good foundational understanding of modern software development lifecycles More ❯

to incrementally deliver working software. You will work well within small teams, taking ownership of and delivering high quality software – you should take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of … both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people More ❯