Job Description
THE ROLE
As our Technical Architect, your mission is to be an architect of our data ecosystem. You will design, build, and manage the robust, scalable data infrastructure, pipelines and data products to place our data at the heart of enabling our organisation. You will be a hands-on technical leader, personally ensuring that our teams, projects and data scientists have seamless access to high-quality, reliable data from a multitude of sources, empowering them to make better decisions faster.
YOUR RESPONSIBILITIES
Strategic Planning & Functional Leadership
* You will help shape the technical priorities for our company-wide data architecture, surveying new technologies and recommending the best strategies for data ingestion, storage, and access.
* You will act as a thought leader in data engineering, championing best practices for data pipeline development, automation, and data governance across the organisation.
Operational Delivery & Process Management
* You will personally lead and execute the design and implementation of scalable ETL/ELT data pipelines, consuming and wrangling data from various internal and external sources (e.g., APIs, databases, file systems).
* You will manage the flow of complex data from its source into our central data stores, ensuring it is clean, structured, and ready for analysis.
* You will develop innovative solutions to complex data integration challenges, implementing tools and processes that automate data delivery and ensure reliability.
* You will build outstanding data products to bring data to life, supporting insight generation and decision making.
Business Partnership & Stakeholder Engagement
* You will act as a key partner across our business, deeply understanding their data access, integration, and quality needs.
* You will build collaborative relationships across the wider technology and business teams to ensure new data sources are integrated smoothly and efficiently.
Data, Reporting & Compliance
* You will ensure data quality, governance, and integrity across all data pipelines, implementing robust monitoring and validation checks.
* You will promote best practices by creating and maintaining clear documentation for data models, pipeline architectures, and operational procedures.
Qualifications
WHO YOU ARE: SKILLS & COMPETENCIES
Knowledge
* Core Expertise: You demonstrate strong expertise in data engineering, cloud architecture, and data pipeline automation, providing technical direction to others as required.
* Data / Insight: You translate complex scientific data sources into efficient data models and reliable pipelines, ensuring data is optimized for analysis and consumption.
* Knowledge Sharing: You promote best practice in data engineering, data modelling, and cloud architecture across the team and function.
Job Complexity
* Task / Project Delivery: You manage complex data engineering projects with multiple stakeholders, from initial architectural design through to production deployment and maintenance.
* Problem-Solving: You anticipate challenges in data integration and scalability, developing creative and robust architectural solutions.
* Strategic Impact: You shape the data architecture roadmap for our research platforms, directly enabling our R&D and data science efforts.
Independence
* Autonomy: You operate independently in ambiguous situations, taking ownership of data pipeline architecture and implementation with minimal supervision.
* Decision-Making: You make significant technical decisions that affect data platforms and infrastructure, exercising sound judgment in technology selection and design.
* Leadership / Mentorship: You provide structured guidance and mentorship to colleagues on data engineering best practices, acting as a go-to expert in your domain.
Values & Behaviours
* Collaboration (One Team): You act as a role model for teamwork, building collaborative relationships with data scientists and IT colleagues to deliver integrated data solutions.
* Innovation (Adventurous): You introduce new ways of working and modern technologies to solve complex data challenges, driving our technical capabilities forward.
* Accountability (Dedicated to our Mission): You own the reliability and quality of the data pipelines, ensuring they robustly support our mission to help patients.
WHO YOU ARE: QUALIFICATIONS
* A background in data engineering with a deep understanding of the tools and workflows such as Python or R.
* Demonstrated, significant experience designing and building systems in a major cloud environment (GCP, AWS, or Azure), with a proven track record of bringing projects from prototype to production.
* Hands-on experience across the full technical stack, including back-end frameworks (e.g., Flask, Django) and database technologies (SQL/NoSQL).
* Expertise in software engineering best practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and version control (Git).
* Expertise in business intelligence products such as Looker.
Additional Information
* State-of-the-art campus environment with on campus restaurant and Montessori nursery
* Flexible working environment
* Competitive reward including annual company bonus
* Employee recognition schemes
* 28 days annual leave in addition to bank holidays + option to buy up to 5 additional days annually
* Employer contribution to pension (employee does not have to contribute)
* Life assurance cover 4x basic salary
* Private Medical Insurance, including optical and dental cover
* Enhanced parental leave policies
* Group income protection
* Employee assistance program
* Health Cash Plan
* Access to company subsidized gym membership
* Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc.
* Cycle to work scheme
Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.