us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using ApacheSpark and Scala. You will work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using ApacheSpark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross … functional teams to gather requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with More ❯
data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯
Birmingham, West Midlands, England, United Kingdom
TXP
data engineering. A detail-oriented mindset and strong problem-solving skills. Degree in Computer Science , Engineering , or a related field. Bonus Skills: Experience with big data tools (e.g., Hadoop , Spark ). Exposure to machine learning workflows . Understanding of prompt engineering concepts. Benefits: 25 days annual leave (plus bank holidays). An additional day of paid leave for your More ❯
It, Express>It, Metadata Hub, and PDL. Hands-on experience with SQL , Unix/Linux shell scripting , and data warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS, Azure, GCP) is a plus. Proven ability to troubleshoot complex ETL jobs and resolve performance issues. Experience working with large-scale datasets and enterprise data More ❯
e.g. AWS, Azure. Good knowledge of Linux, it's development environments and tools Have experience in object-oriented methodologies, design patterns Understanding of Big Data technologies such as Hadoop, Spark Understanding of security implications and secure coding Proven grasp of software development lifecycle best-practices, agile methods, and conventions, including Source Code Management, Continuous Integration Practical experience with agile More ❯
a global estate Strong domain knowledge of Data & AI, including familiarity with cloud data and AI platforms (e.g. MS Azure, AWS Google Cloud) and big data technologies (e.g. Hadoop, Spark) Excellent leadership, communication, and interpersonal skills Ability to think strategically and solve complex business scenarios Working knowledge of TOGAF, DAMA-DMBOK, or similar frameworks is a plusWe are an More ❯
data sources into unified platforms. Monitor, troubleshoot , and enhance data performance and infrastructure. Key Skills & Experience: Strong experience with SQL/NoSQL databases, data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design pattern understanding. Expertise in ETL tools and orchestration frameworks (Airflow, Apache NiFi). Hands-on experience More ❯