ABOUT TECKRO

We founded Teckro to simplify and modernize clinical trials. In fact, thousands of clinical trial investigators and research site staff rely on Teckro to make the most informed decisions for their patients.
That’s where you come in.
We’re offering you a role with purpose. Your contribution at Teckro will lead to faster, safer and more efficient clinical trials. Quality of life will be improved. In the end, lives will be saved.
Could you be our newest Teckronaut?

QUALIFICATIONS REQUIRED:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

TECKRO BENEFITS:

• 25 days holidays
• Pension
• Healthcare
• Life Insurance
• Share Options
• Annual Performance related bonus
• 50% Maternity leave pay after capped length of service
• Paid Paternity leave scheme
• Bike to Work/ Tax Saver Scheme
• Gym/Wellness Allowance
• Sports and Social Club
  We are always looking for amazing people to join our growing team. If you are curious, passionate and motivated, then we want to talk to you!
  By submitting your application, you agree that Teckro may collect your personal data for recruiting and related purposes. Teckro’s Recruitment Privacy Statement explains what personal information Teckro may process, where Teckro may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Teckro’s use of your personal information

As a Staff Data Software Engineer you will:

• Lead the design and implementation of Teckro’s next-generation data platform, setting the direction for its architecture, scalability, and operational maturity.
• Establish and enforce engineering best practices, with a focus on code quality, data reliability, and operational efficiency.
• Solve complex data challenges involving ingestion, transformation, modelling, and delivery, applying deep expertise in modern data engineering principles.
• Architect and maintain robust, scalable data pipelines, supporting batch and real-time processing needs across the business.
• Enable efficient data access and analysis through high-performance querying and well-structured data models.
• Explore and implement strategies to integrate GenAI and machine learning capabilities, identifying opportunities to enhance automation and insights.
• Develop data visualisation and reporting solutions that enable users to access timely, actionable insights.
• Implement monitoring and observability across data workflows, enabling proactive issue detection and root cause analysis.
• Continuously assess and improve the platform’s performance, cost efficiency, and data quality to meet business needs at scale.
• Collaborate with cross-functional stakeholders to translate business problems into effective data solutions and influence product direction with data insights.
• Mentor and support junior engineers, fostering a culture of technical growth, ownership, and continuous learning.
• Drive compliance with data governance standards and regulations, including GDPR and internal policies.
• Stay current with emerging tools, patterns, and technologies, bringing fresh thinking to improve our data ecosystem.
• Act as a key voice in defining our data culture, enabling better decision-making and product innovation across the organisation.