Senior Engineer (Data) (ML

## Embark on a Transformative Data Engineering Journey at a Leading University This senior-level Data Engineer position offers a compelling opportunity to be at the forefront of a significant digital transformation within a respected academic institution. If you're a seasoned professional seeking to leverage your expertise in a role that impacts institutional strategy and fosters advanced analytics, this position warrants your close attention. ### The Opportunity: Building the Future of University Data At its core, this role is about **architecting and implementing a brand-new University Data Hub on the AWS cloud**. This initiative represents a strategic leap from outdated on-premises systems to a modern, scalable, and robust data ecosystem. The University Data Hub will serve as the central nervous system for the institution's data, integrating diverse sources, ensuring data quality, and becoming the definitive source of truth. This is a chance to shape how data empowers decision-making, research, and operational efficiency for thousands of staff and students. ### What You'll Be Doing: Key Responsibilities and Technical Focus As a Senior Data Engineer, you will be instrumental in the design, development, and optimization of critical data infrastructure. Your day-to-day will involve: * **Developing and refining robust ETL pipelines:** You will be working with cutting-edge AWS services like **AWS Glue, Kinesis, and Step Functions** to move, transform, and load data efficiently. * **Enhancing and managing data lakes:** Leveraging services such as **S3, Athena, and Lake Formation** to build a scalable and accessible data lake. * **Implementing data quality frameworks:** Utilizing **Glue Data Quality** to ensure the integrity and reliability of the data powering the hub. * **Designing event-driven architectures:** Employing **EventBridge and Lambda** to create responsive and real-time data processing solutions. Beyond these technical responsibilities, you will also be contributing to a **self-service data platform** supporting over 3,500 staff, building **real-time analytics solutions** for immediate operational insights, and constructing **scalable data pipelines** that underpin predictive analytics and advanced modeling. A significant aspect of this senior role involves **mentoring and guiding junior team members**, fostering a collaborative and growth-oriented environment. ### Advantages for Your Career Path: * **Strategic Impact:** You'll be a key player in a high-profile, strategic project that will fundamentally change how the university utilizes its data. This offers unparalleled visibility and the chance to make a lasting contribution. * **Modern Technology Stack:** Working extensively with AWS cloud services means you'll be honing your skills with in-demand technologies and staying at the cutting edge of data engineering practices. * **DataOps and MLOps Adoption:** This role offers a unique opportunity to be involved in the practical adoption of **DataOps and MLOps methodologies**, providing valuable experience in streamlining and automating data and machine learning workflows. * **Exploration of Emerging Technologies:** You'll have the chance to explore and potentially implement **emerging technologies** in data processing, keeping your skillset fresh and forward-looking. * **Leadership and Mentorship:** The responsibility of providing technical guidance and support to junior engineers will significantly enhance your leadership and team management capabilities. * **Comprehensive Benefits:** The university offers a generous package including a substantial employer pension contribution, ample annual leave (with additional discretionary days), flexible working arrangements, and support for relocation expenses if applicable, demonstrating a commitment to employee well-being and work-life balance. ### Key Considerations for Candidates: * **Fixed-Term Contract:** This role is offered as a full-time position for an expected duration of 12 months. While this provides an excellent opportunity to gain intensive experience, candidates should consider their long-term career objectives. * **Salary Range:** The advertised salary range is £38,784 to £46,049. Candidates should align their expectations with this band. * **Academic Environment:** While a forward-thinking institution, understand that an academic environment can have its own pace and decision-making processes. * **Commitment to Diversity and Inclusion:** The university places a strong emphasis on diversity, equality, and inclusion, evidenced by its Silver Athena SWAN award, autism-friendly accreditation, and Disability Confident Leader status. Candidates who value these principles will find a welcoming environment. This Senior Data Engineer position is more than just a job; it's an opportunity to architect the future of data within a dynamic and inclusive university. If you are driven by innovation, passionate about data quality, and eager to contribute to a significant organizational transformation, we encourage you to explore this exciting prospect.