Senior Analytics Engineer

Hybrid role: based in Basildon, Essex (3 days office, 2 days home)

Salary: Competitive + Benefits + Bonus

If you are an agile, committed, and innovative analytics engineer skilled in defining and shaping long-term data management strategy, then we want to hear from you!

Join us to help improve peoples' lives and make healthcare better for everyone!

Why Pharmanovia?

Pharmanovia is a dynamic, fast-growing international pharmaceutical company with a portfolio of over 20 brands across more than 160 markets. Our mission is to improve patient health globally through the revitalisation of niche, tried-and-trusted medicines.

Our core behaviours are:

We act decisively but we never compromise on quality. We keep our promises and do as we say. We value our heritage and foster an entrepreneurial spirit. We reinvest in our future - in our products, our brands, and our people. We give back to our communities.

Since its inception in 2013, Pharmanovia has grown consistently year on year, focusing on delivering high-quality branded prescription medicines to patients, prescribers, and healthcare providers across the world. Our growth has enabled the company to reinvest in its products, brands, people, and to give back to its communities. A people business with a strong, supportive culture that encourages innovation and entrepreneurial spirit, our team comprises over 300 employees and 29 nationalities, operating from offices in the UK, Denmark, Netherlands, Switzerland, U.A.E., India, Singapore, Italy, Spain, and South Korea.

We are an agile, committed, and innovative global specialty pharma business and a preferred partner for innovator pharma companies, instigating a paradigm shift in the life cycle management of iconic medicines. We seek to extensively engage with clinical communities to communicate product improvements and prioritise environmental, social, and governance considerations across the business and workforce.

Pharmanovia's therapeutic areas include Cardiovascular, Oncology, Endocrinology and Neurology.

About the role:

We are seeking a highly skilled and motivated Senior Analytics Engineer to join our team to help define and build Pharmanovia's long-term data management strategy. Pharmanovia is aiming to build a highly autonomous self-service data and analytics platform, which can extract and align data from many best-in-class 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 Analytics Engineer, you will play a crucial role in defining Pharmanovia's long-term 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 self-service data analytical tools Reporting and maintenance of data quality of core datasets and define improvement strategies Develop data infrastructure to support potential AI/ML use-cases 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 real-life 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 non-technical 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 Analytics 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 data-driven decision-making and enhancing our ability to extract insights from vast amounts of data.

Main responsibilities & duties:

Collaborate with cross-functional teams to understand business requirements and translate them into scalable, secure, and reliable AWS solutions Support the definition of Pharmanovia's long-term data management strategy Define and implement key tools to enact Pharmanovia's 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 cost-efficiency 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 Pharmanovia's cloud infrastructure. Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation within the engineering team

About you:

Bachelor's or Master's 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 cloud-based solutions on AWS In-depth 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) Hands-on 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 problem-solving skills and ability to troubleshoot complex issues in distributed systems Effective communication skills with the ability to collaborate effectively with cross-functional teams Service-oriented with excellent customer service persona Great analytical skills, methodical and high attention to detail Creative solution-oriented 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

What we offer:

We offer a competitive salary plus bonus and rewards package including holiday, health & wellbeing program, employee recognition awards, social events, pension scheme and hybrid working.