10 of 10 Remote Contract Apache Jobs

customer data Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and More ❯

Hybrid) (3 days onsite & 2 days remote) Role Type: 6 Months Contract with possibility of extensions Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow, Energy Trading experience Job Description:- Data Engineer (Python enterprise developer): 6+ years of experience in python scripting. Proficient in developing applications in Python language. Exposed to python-oriented 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 ❯

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 ❯

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 ❯

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 ❯

warehouse knowledge Redshift and Snowflake preferred Working with IaC - Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a ETL environments Experience working with a confluent cloud platform Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers More ❯

data integrity and compliance throughout. Key Requirements Active SC Clearance (used within the last 12 months) Proven experience with Databricks (including notebooks, clusters, and job orchestration) Strong knowledge of Apache Spark , PySpark , and distributed data processing Experience building and optimising ETL pipelines and data workflows Familiarity with Delta Lake , SQL , and data modelling best practices Ability to work with More ❯

contract assignment. Key Requirements: Proven background in AI and data development Strong proficiency in Python , including data-focused libraries such as Pandas, NumPy, and PySpark Hands-on experience with Apache Spark (PySpark preferred) Solid understanding of data management and processing pipelines Experience in algorithm development and graph data structures is advantageous Active SC Clearance is mandatory Role Overview: You … will play a key role in developing and delivering advanced AI solutions for a Government client . Responsibilities include: Designing, building, and maintaining data processing pipelines using Apache Spark Implementing ETL/ELT workflows for large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data More ❯

similar distributed computing platforms is key. Key Responsibilities: Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows. Implement scalable data processing pipelines using Apache Spark and Python. Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution. Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent … Skills & Experience: 4+ years of experience in AI/ML engineering or data-intensive systems. Strong proficiency in Python for AI, ML, and data engineering tasks. Deep experience with Apache Spark (PySpark or Scala-based implementations). Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches. Experience deploying to and managing workloads More ❯