Senior Data Engineer

About the role:

We are seeking a highly skilled and motivated Senior Data Engineer to join our team to help define and build Pharmanovias longterm data management strategy. Pharmanovia is aiming to build a highly autonomous selfservice data and analytics platform which can extract and align data from many bestinclass SaaS platforms (e.g. SAP S4 HANA Salesforce CRM Veeva RIMS and others) to deliver efficient business insights to Pharmanovia management and operational teams.

As a Senior Data Engineer you will play a crucial role in defining Pharmanovias longterm data analytics strategy covering but not limited to:

Data Architecture Infrastructure (AWS):

Design and implement scalable data architectures to support various data sources and types

Select appropriate database technologies data warehouses and/or data lakes

Manage cloud infrastructure to support data processing and storage need

Data Integration ETL:

Develop pipelines to ingest clean and integrate data from disparate sources

Automate data integration processes to improve efficiency and reliability

Implementing reporting and visualization tools for data exploration and analysis

Identify and implement optimizations to enhance data processing and query performance

Data Analytics:

Building analytical capabilities to support selfservice data analytical tools

Reporting and maintenance of data quality of core datasets and define improvement strategies

Develop data infrastructure to support potential AI/ML usecases

Data Governance:

Establishing data governance frameworks policies and standards

Defining data ownership stewardship and quality management processes

Implementing data management practices for data acquisition storage integration and archival

Data Security:

Ensuring compliance with relevant data privacy regulations (e.g. GDPR CCPA HIPAA)

Conducting regular audits and assessments to assess and mitigate data security risks

In addition to the above you will need to demonstrate a good understanding of the reallife use cases for the data to ensure activities are appropriately prioritised and any data issues or concerns that could impact decision making are identified and well communicated. You will be required to collaborate with various technical and nontechnical teams across Pharmanovia to understand business problems and deliver solutions appropriate to the business requirements.

You should have extensive experience working with the AWS platform as well as additional tools such as Databricks and have demonstrated proficiency in designing and managing databases and data platforms.

As a Senior Data Engineer you will play a crucial role in building and optimising our data infrastructure ensuring scalability reliability and efficiency. This role is essential for driving datadriven decisionmaking and enhancing our ability to extract insights from vast amounts of data.

Main responsibilities duties:

• Collaborate with crossfunctional teams to understand business requirements and translate them into scalable secure and reliable AWS solutions
• Support the definition of Pharmanovias longterm data management strategy
• Define and implement key tools to enact Pharmanovias data management strategy
• Design and development of data pipelines using AWS services such as Lambda EC2 S3 RDS DynamoDB etc. from a variety of sources (SaaS platforms excel email attachments sFTPs etc)
• Optimise system performance reliability and costefficiency through continuous monitoring troubleshooting and optimization of AWS resources
• Ensure compliance with industry standards and regulations (e.g. HIPAA GDPR) for data security and privacy in AWS environments
• Implement best practices for infrastructure as code (IaC) using tools like AWS CloudFormation or Terraform to automate provisioning and deployment processes.
• Stay updated on emerging AWS technologies and trends and evaluate their potential to enhance Pharmanovias cloud infrastructure.
• Provide technical guidance and mentorship to junior team members fostering a culture of learning and innovation within the engineering team

About you:

• Bachelors or Masters degree in Computer Science Engineering or related field
• ITIL Foundation desirable
• Knowledge of ITIL 4 and change management practices
• Proven experience designing developing and deploying cloudbased solutions on AWS
• Indepth knowledge of AWS services and their use cases with a focus on compute storage networking security and monitoring
• Proficiency in programming languages such as Python Java or Node.js and experience with serverless computing (AWS Lambda)
• Handson experience with containerization technologies (e.g. Docker Kubernetes) and familiarity with container orchestration on AWS (Amazon EKS)
• Strong understanding of DevOps principles and experience with CI/CD pipelines using tools like AWS Code Pipeline Jenkins or GitLab CI/CD
• Excellent problemsolving skills and ability to troubleshoot complex issues in distributed systems
• Effective communication skills with the ability to collaborate effectively with crossfunctional teams
• Serviceoriented with excellent customer service persona
• Great analytical skills methodical and high attention to detail
• Creative solutionoriented mindset and the ability to take own initiative
• Approachable helpful and flexible attitude
• Strong verbal and written English language skills
• Ability to travel internationally if required
• Driving licence

Please use the below link for job application and quicker response.

Remote Work :

No