Data Engineer (Remote, UK & EU)

Overview

We’re looking for a Data Engineer to join Byte Engineering and work across our portfolio of client projects. Your primary engagement (approximately 3 days per week) will be with a client in the cardiac research space, where you will design and build secure, reliable, cloud-native data solutions for processing ECG and related cardiological and patient data for the purpose of medical research and eventual application directly in a clinical setting. On this project, you’ll work closely with technical and non-technical stakeholders (e.g. clinicians and researchers) to turn real-world needs into scalable, well-tested data pipelines and data models that aim to drive clinical value through supporting research activities that will lead to direct application in a clinical setting. You will work as part of an inter-disciplinary team where your responsibility will be for the implementation and maintenance of the data platform, with direct oversight from a technical team-lead, but the expectation of a high degree of independence in the delivery of your work.

Alongside this primary engagement, you will also contribute to other Byte Engineering client projects (approximately 2 days per week), bringing your data engineering skills to a variety of industries and technical challenges. This offers the opportunity to broaden your experience across different domains, tech stacks, and problem spaces whilst being part of a collaborative and technically excellent consultancy team.

Location: Remote (UK or EU-based)

Salary: competitive based on local rates

Engagement duration: open-ended

Engagement type: This role is offered as a direct contract-for-services with a self-employed contractor (sole trader or sole proprietor)

About Byte Engineering

Byte Engineering is a data consultancy based in Switzerland that combines business acumen and technical expertise to help organisations pull the value out of their data. We provide end-to-end data solutions tailored to our clients’ business needs, from infrastructure design and implementation to advanced analytics, data science, and AI. Our core services span Data Architecture, Data Engineering, Data Analytics & BI, and Data Science & AI. We have a proven track record of delivering transformative results for clients across industries including FinTech, manufacturing (Industry 4.0), and healthcare. Every solution we design and implement is aligned with our clients’ specific business objectives and ROI targets.

What we are looking for in a candidate

• 2+ years work experience related to hands on implementation of data/analytics processes (this number can include PhD experience).
• Ability to work directly with technical & non-technical stakeholders (e.g. clinicians, academic researchers, business teams) to translate discussions into relevant user stories & requirements.
• Comfort working independently and owning delivery of outcomes end-to-end.
• Ability to investigate and evaluate data-based solutions that may be new to you. 
• Experience building and maintaining production-grade data pipelines (ETL or ELT) and data models, ideally with experience owning and delivering some of these end-to-end as an individual contributor.
• Strong experience with data-related services in a cloud provider (ideally in Azure, but transferable knowledge and practices are most important here).
• Strong skills in using SQL to both perform analytics & build data models.
• Strong knowledge of Python, focusing on its use in orchestration, monitoring & execution of data pipelines.
• An appreciation of how to approach and implement tests around the data-lifecycle.
• Fluent English speaker.

Nice to have

• Experience operating with data in regulated environments (e.g. healthcare, life sciences) and implementing resultant strong data security practices.
• Experience working with data-related services in Azure.
• Experience with DDL operations in Microsoft SQL Server.
• Experience with dbt.
• Experience working with ECG data, especially with relation to signal processing of the waveforms.