Data Engineer 2
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Purpose Summary To design, build, support and maintain scalable, reliable data solutions that enable the business to make timely, data-driven decisions. This role owns the data pipelines, integrations and analytics tooling — including Snowflake and Power BI — that underpin reporting and analytics across the organisation, working closely with the Development, Cloud and Security engineering teams to ensure data solutions are delivered securely, reliably and efficiently. The role is forward-looking, embracing AI-assisted tooling to accelerate delivery and improve data quality, while maintaining strong working knowledge of existing data tooling to support and maintain legacy data integrations and solutions. Primary Duties and Responsibilities I design, build, support and maintain scalable, secure data pipelines and integrations across the organisation's data estate. I develop and maintain data models, ETL/ELT pipelines and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI and related data tooling. I take accountability for the quality, performance and ongoing support of the data solutions I deliver, including legacy data integrations. I champion effective and responsible use of AI-assisted tooling (e.g. GitHub Copilot, Claude) to improve the speed, quality and efficiency of data engineering delivery. I work closely with the Development, Cloud and Security engineering teams to ensure data solutions are architected, delivered and operated securely and reliably. I troubleshoot and resolve complex data issues, including data quality, performance and integration failures, across both modern and legacy platforms. I maintain and support existing legacy data integrations and solutions, ensuring continuity of service while planning their modernisation where appropriate. I build and maintain dashboards, reports and self-service analytics capability in Power BI for business stakeholders. I liaise with business stakeholders to understand data and reporting requirements and translate them into effective technical solutions. I adopt a security-first approach to the data solutions I design and build, ensuring data is handled in line with governance, privacy and compliance requirements. I contribute to the definition and evolution of data architecture, standards and best practice across the organisation. I can accurately estimate the time and effort required for data engineering tasks and projects. I partner with the Cloud and Development teams to ensure data platforms scale effectively within our cloud infrastructure. The employee agrees to take on additional reasonable tasks that align with their abilities, if required. Experience and Educational Requirements Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent professional experience. 5+ years of experience in data engineering, data warehousing or business intelligence roles. Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform. Strong hands-on experience with Power BI, including data modelling, DAX and report/dashboard development. Experience building and maintaining ETL/ELT pipelines and data integrations, including legacy systems. Practical experience using AI-assisted tooling (e.g. GitHub Copilot, Claude) to improve data engineering delivery. Strong SQL skills and experience with data modelling, including dimensional modelling and star schemas. Experience working with cloud platforms (Azure, AWS or GCP) and cloud-native data services. Understanding of data governance, data quality and data security principles. Experience working closely with Development, Cloud and Security engineering teams in a cross-functional environment. Experience with Azure Synapse Analytics is desirable. GxP, GCP and/or TMF (Trial Master File) knowledge preferred but not mandatory. Excellent problem-solving skills and the ability to diagnose and resolve complex data issues. Rapidly absorbs and critically assesses new information and applies it effectively, keeping pace with evolving data and AI tooling. Strong communication skills, with the ability to translate technical data concepts for non-technical stakeholders. Makes decisions which impact the success of assigned work, i.e. results, deadlines and quality, and supports collaborative ways of working across the team. Investigates, defines and resolves complex data issues across a broad range of technical contexts. Learning and professional development — keeps own data and AI tooling knowledge current and shares learning with the team. Security, privacy and ethics — fully understands the importance and application to own work and the operation of the organisation. Minimum Skills, Knowledge and Ability Requirements Communicates fluently, orally and in writing, and can present complex data concepts to both technical and non-technical audiences. Confidently evaluates when and how to use AI-assisted data tooling, and champions responsible adoption of AI-assisted tooling across the team. Strong working knowledge of data tooling and platforms (e.g. Snowflake, Power BI), with the ability to maintain and support existing legacy data integrations and solutions. Collaborative mindset, working effectively across Development, Cloud and Security teams to deliver secure, reliable data solutions. Forward-looking approach to technology, keeping up to date with emerging data and AI tooling and identifying opportunities for efficiency gains. Strong analytical and problem-solving skills, with a security- and quality-first mindset. . Bachelor’s degree in computer science, data engineering, information systems, software engineering, or a related field, or equivalent experience required. 2+ years of experience in data engineering, working on ingestion, transformation, modeling, pipeline operations across multiple data sources, or a related field. Certifications in cloud fundamentals or data engineering preferred. What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time Affiliated Companies Affiliated Companies: Phlexglobal, Inc. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [email protected] . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
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