3 of 3 Remote Big Data Jobs in Birmingham

Job Title: Azure Databricks Data Engineer Location: UK-Wide Offices - Hybrid (Primarily Remote) Salary: £70,000 to £100,000 (plus Pension, Benefits, and Bonus) We're looking for a skilled Azure Data Engineers to join our clients team and help us build robust, scalable, and secure data platforms. In this role, you'll work with Databricks, Apache Spark, and Azure technologies to design, develop, and implement data warehouses, lakehouses, and AI/ML models that drive our data-centric initiatives. What You'll Do Build High-Performance Data Pipelines : Use Databricks and Apache … Spark to transform and load data into Azure services. Develop Secure Data Solutions : Create data models, apply quality checks, and implement governance for accuracy and reliability. Integrate AI/ML Models : Build machine learning models in Databricks ML and Azure ML to deliver predictive insights. Optimize Performance more »

AWS Data Engineer Salary: £50,000 - £95,000 - Bonus + Pension + Private Healthcare Location: London/UK Wide Location - Hybrid working * To be successfully appointed to this role, you must be eligible for Security Check (SC) and/or Developed Vetting (DV) clearance . The Client: 83zero is … and home working, with the understanding that 100% home working is not an option. Your Role Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Develop, Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools. Utilise DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes. Leverage your more »

experience: Technical Skills Proficiency in programming languages such as Python & JavaScript Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). Experience with data preprocessing tools and libraries (e.g., pandas, NumPy, scikit-learn). Familiarity with technologies such as React & Next.js Experience with LLMs such as GPT4. Familiarity … with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployments. Knowledge of big data technologies like Spark, Hadoop, or Kafka is a plus. Proficient in version control tools like Git and CI/CD pipelines for machine learning workflows. Other Requirements A degree … in Computer Science, Data Science, Mathematics, or a related field. A Master's/PhD is a plus. 2+ years of experience in AI/ML development or a related role. Strong problem-solving and analytical skills. Excellent communication skills and ability to work collaboratively in a team environment. more »