Senior Software Engineer II

About our Team

The Enterprise Data Platforms and Services (EDPS) team are a central technology group 
responsible for building, administering, governing, and setting global standards for a growing 
number of Elsevier strategic data platforms and services.  The capabilities we are responsible 
for enable data to be collected, accessed, processed, and integrated across a wide range of 
digital business solutions, used by functions including billing and order management, customer
and product master data management, and business analytics and insights delivery.  Due to 
our footprint across the enterprise, we are relied upon to ensure our systems are trusted, 
reliable and available. The technology underpinning these capabilities includes industry 
leading data and analytics products such as Snowflake, Tableau, Collibra, Kafka, Airflow, and 
Kubernetes.  
This group has been created recently as part of a longer-term strategic direction to implement 
Data Mesh, and with it establish shared platforms that enables a connected collection of 
enterprise-ready time saving services.  Our mission is to enable frictionless experiences for all 
Elsevier colleagues, so that they can openly and securely consume and produce trustworthy 
data, enhancing everyday colleague and customer interactions and decisions. 

About the role

We are looking for a senior engineer to build components of our Enterprise Data Platform that 
are critical to both operational and analytical use cases.  There will be an opportunity to work 
on a modern data stack to create frictionless and trusted self-service capabilities.  This role will
be expected to build standardised modules and patterns that assist Elsevier teams to onboard 
and leverage various platforms capabilities.   You will be expected to collaborate closely with 
other technology teams to ensure that we are driving a culture of contributing towards shared 
services.
Your success will ultimately be measured by your ability to deliver capabilities that successfully
meet user requirements and that all releases meet quality standards, whilst delivering to 
committed timelines. 

Your responsibilities 

• Build prototypes and proof-of-concepts ensuring we have well documented designs to 

• inform and support team leadership decisions while enabling more accurate sizing and 

• dependency mapping activities.

• Support Junior developers through best practice implementation by engaging in regular 

• pair programming and code review sessions.

• Build and design integration tools following all relevant best practices (especially 

• relating to security)

• Developing and refining user stories for the standardised patterns and tools

• Support and mentor junior members of the team and assist in building integration tools

• Resolving technical system issues with integration jobs and providing root cause 

• analysis including urgent bug fixes

• Supporting our business partners with use and implementation of standardised data 

• integration jobs

• Collaborate with colleagues within and outside of the team and supporting them with 

• technical expertise

Requirements

• Hands-on knowledge of the AWS Cloud ecosystem, with demonstrable experience of 

• building secure, production grade data solutions and applications hosted on AWS.

• Extensive use of Python for programming and data manipulation, showing an ability to 

• develop reusable and deployable modules for ETL / ELT data pipelines, including data 

• orchestration.

• Significant use of modern cloud database systems, with knowledge and understanding 

• of different table and file formats, and when to apply specific techniques to ensure well 

• performing solutions

• Use of Continuous Integration / Continuous Deployment techniques and principles for 

• more effective and efficient software development lifecycle.

• Experience of writing and evaluating user stories (preferably using Jira) in an Agile 

• environment

• Experience of wider eco-system of modern analytical tools (e.g. Snowflake, Tableau, 

• Knime, Databricks, Data Mesh Techniques)

Your most important qualities

• Drive to succeed and build superior software solutions that delight our users and 

• stakeholders.

• Passion for data engineering and self-improvement, including learning new skills and 

• technologies.

• Good communication and collaboration skills with technology stakeholders. 

• A drive to make it easier for users to follow Elsevier best practices in integrations.

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