• Carry out planned preventative maintenance (PPM) on water systems • Conduct water sampling, flushing, and treatment activities • Ensure compliance with ACOP L8, HSG274, and water hygiene regulations • Accurately record all site work using company systems and software • Identify and report system issues or non-compliances to Account Managers • Build strong relationships with clients and represent SMS professionally on-site • Support and mentor junior engineers where required

Role Description As a Senior Palantir Engineer (Senior Associate) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large scale data processing software to meet user needs in demanding production environments. Your responsibilities will include: - Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution. - Working with Architects and Lead Engineers to ensure the software supports non-functional needs. - Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality. - Working with operations teams to ensure operational readiness. - Advising customers and managers on the estimated effort and technical implications of user stories and user journeys. - Coaching and mentoring team members. Qualifications - Strong software development experience in one of Java, Scala, or Python. - Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. - Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment. - Proficient in SQL and SQL extensions for analytical queries. - Solid understanding of ETL/ELT data processing pipelines and design patterns. - Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialization formats. - Able to write quality, testable code and has experience of automated testing. - Experience with Continuous Integration and Continuous Deployment techniques. Requirements - Experience of performance tuning. - Experience of data visualization and complex data transformations. - Experience with streaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products. - Expertise in continuous improvement and sharing input on data best practice. Company Description At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

• Collaborate with incident response teams to identify and implement automation opportunities. • Develop and deploy SOAR automations for detection and response. • Serve as a subject matter expert in security automation and data analytics. • Produce system analytics and document changes per Change Management best practices. • Recommend, develop, and release new use cases to optimize SOAR capabilities. • Mentor junior team members and perform quality assurance on automation work. • Participate in special projects and contribute to continuous improvement initiatives.

• Build and operate reliable, scalable data pipelines and curated datasets on the Databricks Lakehouse Platform • Collaborate with architects, analysts, and platform teams to implement batch and streaming ingestion • Develop dimensional and/or domain data models • Uplift governance and observability across the data lifecycle • Design, build, and optimising ETL/ELT pipelines using Databricks (Spark/SQL), Delta Lake, and Databricks Workflows/Jobs • Develop and maintain transformation models with dbt (Databricks adapter), including testing, documentation, and deployment via CI/CD • Implement medallion architecture patterns (bronze/silver/gold) and best-practice data modelling to support analytics and self-service consumption • Build data quality checks and observability (e.g., dbt tests, expectations, monitoring/alerting) and support lineage and documentation • Apply security and governance using Unity Catalog (access controls, table ownership, auditability) and partner with stakeholders on compliant data access • Performance tuning and cost optimisation (cluster policies, job orchestration, Spark optimisation, partitioning, Delta optimisation) and support incident/problem resolution