Manager Data Platform & Solutions
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+21 more
Job description
One clear purpose - to deliver a smoke-free future.Times are changing at PMI. We’ve chosen to do something big. The world expects us to act responsibly. And we are doing just that by transforming our business by building a smoke-free future.With huge change comes huge opportunity. Wherever you join us, you’ll enjoy the freedom to deliver better, brighter solutions and the space to move your career forward in endlessly different directions.Purpose of the jobAs a senior Data Engineer Design, build, operate, and continuously improvesecure, reliable, and scalable data pipelines and data storesthat enable high?quality analytics, reporting, and data?driven decision?making for the Spain market, while aligning with PMI’s global data platform, governance standards, and compliance requirements.The role ensures thatdata is trusted, available, performant, and fit?for?purpose, supporting business analysts, data scientists, BI Developers and digital products across Commercial, Finance, Supply Chain, Consumer, and Corporate domains.Why This Role MattersThis role is critical to ensuring thatSpain DI&A delivers trusted, actionable, and timely insightswhile remaining aligned with PMI’sglobal data platform strategyandgoverned ways of working.The Data Engineer bridgesglobal platformsandlocal business needs, turning data into a durable asset that enables PMI’s smoke?free future.Key responsibilitiesAccountability 1Design, build, and operationalize data pipelines and data storesto ingest, transform, and prepare structured and semi?structured data for analytics and downstream consumption.Outcome:Reliable, scalable, and reusable data assets supporting Spain market use cases.Accountability 2Apply PMI and DI&A data engineering standards, patterns, and tools(e.g., Snowflake, Matillion, dbt, AWS services, BigQuery) to ensure consistency, reusability, and maintainability of data solutions.Outcome:Standardized, production?grade data pipelines aligned with global architecture.Accountability 3Perform data quality validation, monitoring, and remediation, embedding data quality checks in pipelines and proactively addressing data issues.Outcome:Trusted data with defined quality thresholds supporting business and analytical confidence.Accountability 4Ensure compliant, secure, and appropriate data storage and processing, in line with PMI policies, data governance rules, and relevant legislation (e.g., GDPR).Outcome:Data solutions that are auditable, compliant, and secure by design.Accountability 5Embed security, scalability, efficiency, reliability, portability, and cost?awarenessinto all data engineering solutions.Outcome:Future?proof data platforms that scale with business demand and usage.Accountability 6Collaborate with Business Analysts, Product Owners, Data Architects, and stakeholdersto translate analytical and reporting requirements into robust data solutions.Outcome:Well?designed data models and datasets aligned with business priorities.Accountability 7Work closely with Data Scientists and Advanced Analytics teamsto ensure pipelines support model development, training, deployment, and monitoring.Outcome:Analytical workloads enabled by fit?for?purpose, performant data pipelines.Accountability 8Monitor, optimize, and continuously improve data pipeline and platform performance, addressing reliability, cost, and scalability.Outcome:Stable, performant, and efficient data operations with minimal manual intervention.Required skills and CompetenciesEducationBachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.Work ExperienceMinimum6+ years of experiencein Data Engineering or a closely related role.Hands?on experience deliveringproduction?grade data pipelinesin cloud environments.Experience working inAgile / product?oriented delivery models.Exposure to business domains such asCommercial, Finance, Supply Chain, Consumer, Product, or Life Sciences.Familiarity with enterprise systems such asSalesforce, Digital Consumer Engagement platforms, ERP, and Finance systems.Technical & Functional SkillsCore Data Engineering TechnologiesSnowflake- data warehousing, performance optimization, cost?aware designMatillion- ELT pipeline developmentdbt- data transformation, testing, and modelingAWS- S3, Glue, Lambda, Redshift, EMR (or equivalent services)Open Source- Apache Spark, Kafka (or similar)Engineering & Data PracticesStrong SQL skills; Strong knowledge of Python (or similar)Experience with relational and NoSQL data storesUnderstanding of data modeling (dimensional, analytical, and consumption?focused)Data quality checks, lineage, and observabilityCI/CD practices for data pipelinesKnowledge of data security, privacy, and governance principlesWays of WorkingStrong problem?solving and analytical skillsAbility to explain complex data topics to non?technical audiencesStrong collaboration mindset in cross?functional teamsEnd?to?end ownership of data pipelines and datasetsApplies standards independently and contributes to solution designProactively identifies quality, performance, and reliability issuesActs as a strong partner to analysts and data scientistsLeads complex data engineering initiatives and designsWhat we offerOur success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.Take pride in delivering our promise to society: to deliver a smoke-free future.Equal opportunities and diversity in all facets, such as the employment of severely disabled people and inclusion, are part of our everyday life. Severely disabled applicants are very welcome at Philip Morris Spain.Please note that only on-line applications will be taken into consideration.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Work Experience Minimum 6+ years of experience in Data Engineering or a closely related role. Hands?on experience delivering production?grade data pipelines in cloud environments. Experience working in Agile / product?oriented delivery models . Exposure to business domains such as Commercial, Finance, Supply Chain, Consumer, Product, or Life Sciences . Familiarity with enterprise systems such as Salesforce, Digital Consumer Engagement platforms, ERP, and Finance systems, data warehousing, performance optimization, cost?aware design Matillion
-
ELT pipeline development dbt
-
data transformation, testing, and modeling AWS
-
S3, Glue, Lambda, Redshift, EMR (or equivalent services) Open Source
-
Apache Spark, Kafka (or similar) Engineering & Data Practices Strong SQL skills; Strong knowledge of Python (or similar) Experience with relational and NoSQL data stores Understanding of data modeling (dimensional, analytical, and consumption?focused) Data quality checks, lineage, and observability CI/CD practices for data pipelines Knowledge of data security, privacy, and governance principles Ways of Working Strong problem?solving and analytical skills Ability to explain complex data topics to non?technical audiences Strong collaboration mindset in cross?functional teams End?to?end ownership of data pipelines and datasets Applies standards independently and contributes to solution design Proactively identifies quality, performance, and reliability issues Acts as a strong partner to analysts and data scientists Leads complex data engineering initiatives and designs
About the company
Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can: *Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore. *Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong. *Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress. *Take pride in delivering our promise to society: to deliver a smoke-free future. Equal opportunities and diversity in all facets, such as the employment of severely disabled people and inclusion, are part of our everyday life. Severely disabled applicants are very welcome at Philip Morris Spain. Please note that only on-line applications will be taken into consideration.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Making Data Warehouses Fast: A Developer’s Story
Data Engineer Salary UK
Highest Paying Tech Companies for Developers
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production