Connected Brewery Tech Lead - IoT Data Platform

About the project

We are looking for a Connected Brewery Tech Lead to own the technical direction, production readiness, and capability leadership for the Data Engineering, BI Development, and Data Science chapter supporting the Connected Brewery data product ecosystem.

The role is accountable for setting and governing data and analytics standards, reusable architecture patterns, delivery methods, and production-readiness expectations across a multi-OpCo, multi-brewery, multi-use-case ecosystem. Connected Brewery should be treated as a scalable data product landscape, not as a single delivery stream.

The role ensures that data pipelines, BI outputs, semantic-layer inputs, analytical solutions, and machine-learning-ready datasets are scalable, reusable, reliable, observable, secure, supportable, and designed for adoption across multiple breweries and OpCos.

The role is centred on building durable data foundations and reusable analytics capabilities across extraction, transformation, storage, quality assurance, integration, deployment, operational support, stakeholder engagement, and capability building across data professionals.

Your responsibilities

• Chapter Leadership and People Management
• Leading and line-managing approximately 4-10 Data Engineers, BI Developers, and Data Scientists, including work allocation, coaching, performance management, development planning, and capacity planning
• Ownership of the chapter operating model, capability plan, skill matrix, succession risks, and hiring needs for the Connected Brewery data and analytics capability
• Setting technical expectations for chapter members and ensure consistent engineering, BI, analytics, documentation, and production-support practices
• Governing vendor and contractor contribution where applicable, ensuring external delivery capacity follows chapter standards and contributes to reusable assets
• Definition and governance of the reusable data product patterns, architecture principles, semantic-layer inputs, BI delivery standards, and analytical delivery methods across breweries, OpCos, and use cases
• Approving key architecture patterns and manage technical trade-offs between tactical squad delivery, long-term scalability, operational supportability, and platform direction
• Leading cross-squad dependency management, delivery prioritisation, technical risk resolution, and alignment across squads, platform teams, breweries, and OpCos
• Ensuring that Connected Brewery evolves as a scalable data product ecosystem with reusable methods, components, templates, and standards that can be adopted beyond individual sites.Scalable Data and Analytics Delivery
• Driving the delivery of scalable data pipelines, curated datasets, semantic-layer inputs, BI outputs, advanced analytics outputs, and machine-learning-ready data assets
• Setting standards for reusable, trusted, observable, supportable, secure, and cost-conscious data products and pipelines
• Ensuring data and analytics delivery is designed for repeated adoption across multiple use cases, breweries, countries, and OpCos
• Owning alignment between AWS-based data engineering patterns and Azure-based semantic-layer, BI, and downstream analytics consumption requirements
• Reducing duplication across reports, datasets, metric definitions, transformation logic, and squad-specific implementations by enforcing common reusable patterns
• Accountability for data quality, lineage, observability, testing, monitoring, documentation, and production-readiness standards across data products and pipelines
• Ensuring technical decisions, dependencies, transformation logic, design assumptions, support models, and downstream impacts are documented and governed

Our requirements

You are a good candidate if you have:

Qualifications

* Minimum 10 years of experience across Data Engineering, Data Platform Engineering, Analytics Engineering, BI Engineering, Data Science Enablement, or similar data and analytics roles

* At least 3 years of technical leadership experience in a complex data, analytics, BI, AI/ML, or platform delivery environment

* Proven experience leading, line-managing, or formally coordinating mixed technical teams, including performance management, coaching, capability planning, and work allocation

* Experience defining standards, reusable methods, architecture patterns, governance practices, and production-readiness expectations across multiple teams, sites, markets, or business units

* Experience managing delivery across multiple stakeholders, squads, technical disciplines, and enterprise platforms

Experience / Skills:

* Working across multiple environments such as development, test, staging, and production

* Designing pipelines that support multiple consumers and use cases

* Understanding how to build scalable and reusable data processing patterns

* Understanding how curated datasets are consumed by BI and analytics teams

* Supporting BI Developers in building reliable reporting and semantic-layer outputs

* Supporting the creation of trusted datasets for BI, dashboarding, and advanced analytics

* Helping reduce duplication across reports, datasets, and squad-specific logic

* Ensuring that reporting and analytics requirements are considered when designing upstream data pipelines

* Supporting alignment between operational reporting, historical reporting, and advanced analytics use cases

* Unit and integration testing for data pipeline, with data lineage and traceability

* Pipeline observability and operational monitoring

* Reconciliation between source and target datasets

* Handling pipeline failures, retries, and support processes

* Ensuring transformation logic and data dependencies are documented

* Supporting production readiness and handover of data products

* Ensuring reporting and analytical outputs are based on trusted and well-understood data

Optional

• AWS Step Functions
• EventBridge or event-driven data processing
• Lambda-based orchestration or lightweight integration patterns
• Iceberg, Delta, or similar table formats
• CI/CD deployment of AWS data engineering workloads
• Terraform-based AWS infrastructure deployment
• Understanding of Azure data platform concepts
• Working with Azure Data Lake, Azure Data Factory, Synapse, Fabric, or similar services
• Preparing data for semantic-layer or reporting consumption
• Supporting BI and analytics teams with curated, trusted, and model-ready datasets
• Understanding how data needs to be structured for Power BI or advanced analytics use cases
• Helping align AWS data preparation with Azure-based consumption patterns
• Understanding the hand-off between data engineering outputs and semantic-layer modelling
• Power BI exposure
• Semantic model / semantic layer experience
• Experience supporting advanced analytics teams
• Experience with operational dashboards or Grafana
• Experience with KPI and metric standardisation across multiple sites or OpCos.

What we offer

• Hybrid ways of working
• Private medical healthcare
• Attractive performance bonus
• Sodexo pre-paid card
• Life insurance
• Employee referral program
• Wide range of trainings
• Local and global job opportunities within HEINEKEN
• Parking space
• Open bar once a week
• We are ACCA Approved Employer

Benefits

• flexible work from home scheme after pandemic/lockdown
• open bar on Fridays
• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• integration events
• corporate sports team
• parking space for employees
• extra social benefits
• pre-paid cards
• christmas gifts
• employee referral program
• charity initiatives

HEINEKEN Business Services Poland

At HEINEKEN Kraków (HEINEKEN Global Shared Services) our success comes directly from our great people. We are a growing team of finance, accounting, data and technology professionals ready to „WOW” the world with our expertise, passion and pride to be GREEN. Our employees can develop in the following areas: Purchase to Pay, Order to Cash, Record to Report, Business Performance Management, Accounting, Reporting & Consolidation, Digital & Technology, Transformation Management, Global Audit, Global Process & Control Improvement, Global Process Expertise, and Support Functions like HR, Service Management, Global Master Data, Internal Finance, Change & Communications.

An integral part of HEINEKEN’s day-to-day operations, our Global Shared Services center has significantly contributed to leveraging the benefits of the company since 2012. With more than 1100 employees comprised of 27 nationalities, we collaborate with 26 Operating Companies in 25 languages. A truly global experience! We value enjoyment of life, respect for people and planet and passion for quality in all that we do.

HEINEKEN is a proud independent global brewer, committed to surprise and excite consumers with its brands and products everywhere. The brand that bears the founder's family name - Heineken® - is available in almost every country around the globe and is the world's most valuable international premium beer brand. Our company is present in over 70 countries, operates more than 160 breweries and markets more than 250 brands.

HEINEKEN Global Shared Services Center was awarded as the Business Services Firm of the Year 2021!

At HEINEKEN Kraków, we take integrity and ethical conduct seriously. If someone has concerns about a possible violation of legal regulations indicated in Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting proper option in this tool or by communicating it on hotline.

This is how we work