COVID-19 is still spreading. Remember to follow the latest guidelines even as lockdown rules are relaxed. More info at
Hyper Recruitment Solutions
Back to results

Data Engineer

£38,000 - £50,000 per annum
Job Reference: J5635165
Updated On: 23/06/2021
Status: Open to Applications
Hyper Recruitment Solutions
Sectors: Biotechnology, IS&T

Skills: IT Pharma - Computational - SQL, IT Pharma - Computational - Bioinformatics, IT Pharma - Computational - Python, IT Pharma - Computational - Data Engineer, IT Pharma - Computational - Data Science, IT Pharma - Computational - Data Analysis, IT Pharma - Computational - Programming, IT Pharma - Computational - Data Management

Job Information

Role Overview

We are currently looking for a Data Engineer to join a leading Biopharmaceutical company based in the Oxfordshire area. As the Data Engineer you will be responsible for making data accessible and usable for data scientists, analytics teams and decision makers to support down-stream scientific analysis and reporting. This will be through understanding the data landscape and onotologies required to identify reliable data sources and contributing to the data dictionary build. This is a highly technical role that blends traditional data engineering, data management, software development, analytics and bioinformatics.

Key Duties and Responsibilities

1. Technical design, coding, transformation and operational support for every step of a data process.

2. Working alongside data scientists, analysts, IT experts and stakeholders to build / scale data pipelines / algorithms (including tools to monitor performance and completion), and production systems and solutions (using commercial packages and custom development).

3. Assemble large, complex data sets to support business needs.

4. Data transformation, query, data science and bioinformatic pipeline and visualization techniques.

Role Requirements

1. BSc or MSc degree in a relevant field, such as computer science, statistics, applied mathematics, computational biology, data management, data science, information systems, bioinformatics etc.

2. Strong and demonstrated software engineering experience using computational programming languages (i.e. R, Python, Java, C++), pipeline lifecycle tools, and popular database programming languages (ie. SQL, PL/SQL) for relational databases, operational data stores and data lakes.

3. Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data integration, data models, schemas and meta-data.
Elliott Harvey
Your Recruitment ConsultantElliott
DisclaimerHyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for our talent development. We welcome applications for any applicant who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment processionals and scientists. We look forward to helping you with your next career moves.