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Senior Platform Engineer – Data and Analytics
Lisbon, Portugal
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAs a Senior Platform Engineer within our Data & Analytics environment, you will help build, automate, and evolve the engineering foundations that enable analytics and AI solutions to operate securely, reliably and at scale.
This is a hands-on platform engineering role where you will work across Microsoft Azure, Azure Databricks and Power BI.
Build and maintain Azure and Databricks infrastructure with Terraform or Bicep
Develop CI/CD pipelines for infrastructure, Databricks and Power BI
Create reusable, metadata-driven ingestion and processing capabilities
Strengthen platform security, access management, lineage and data quality
Improve monitoring, performance and cost efficiency across the platform
From the employer’s posting
As a Senior Platform Engineer within our Data & Analytics environment, you will help build, automate, and evolve the engineering foundations that enable analytics and AI solutions to operate securely, reliably and at scale.
This is a hands-on platform engineering role where you will work across Microsoft Azure, Azure Databricks and Power BI.
Build and maintain Azure and Databricks infrastructure using Terraform or Bicep
Develop and operate automated CI/CD pipelines for infrastructure, Databricks workloads and Power BI
Create reusable, metadata-driven ingestion and processing capabilities
Strengthen platform security, access management, lineage, data quality, and governance
Improve monitoring, performance, operational resilience, and cost efficiency across the platform
What you’ll bring
All qualificationsCore experience
- You have 6+ years of relevant experience in platform engineering, DevOps or data engineering within enterprise cloud environments, with hands-on experience delivering solutions in real projects.
- Experience with Power BI platform administration or deployment automation is valuable.
Qualification wording
You have 6+ years of relevant experience in platform engineering, DevOps or data engineering within enterprise cloud environments, with hands-on experience delivering solutions in real projects.
Experience with Power BI platform administration or deployment automation is valuable.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Essity is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Power BI
- Terraform
- PySpark
Where the posting names them
- You have 6+ years of relevant experience in platform engineering, DevOps or data engineering within enterprise cloud environments, with hands-on experience delivering solutions in real projects. - You have strong practical expertise in Microsoft Azure and Azure Databricks, complemented by experience with technologies such as Terraform or Bicep, CI/CD, Unity Catalog, Delta Lake, Azure Data Factory, Python, SQL and PySpark. - Experience with Power BI platform administration or deployment automation is valuable.
- Continuous Delivery: Develop and operate automated CI/CD pipelines for infrastructure, Databricks workloads and Power BI using Azure DevOps or GitHub Actions. - Data Platform Engineering: Create reusable, metadata-driven ingestion and processing capabilities using Azure Data Factory, Databricks, Delta Lake, PySpark and SQL. - Security & Governance: Strengthen platform security, access management, lineage, data quality, and governance to support trusted data and analytics.
Senior Platform Engineer – Data and Analytics (F/M/D) Ready to shape the next generation of Data & Analytics? Excited by Azure, Databricks and AI-powered automation? Want to turn complex technology into simple, scalable experiences? Join Essity and help us innovate for good. About the Role
As a Senior Platform Engineer within our Data & Analytics environment, you will help build, automate, and evolve the engineering foundations that enable analytics and AI solutions to operate securely, reliably and at scale. This is a hands-on platform engineering role where you will work across Microsoft Azure, Azure Databricks and Power BI. You will strengthen DevOps and infrastructure-as-code capabilities while developing reusable platform services that make it easier for teams to build and consume data and analytics solutions.
What You Will Do - Platform Automation: Build and maintain Azure and Databricks infrastructure using Terraform or Bicep, covering areas such as storage, networking, access controls, and Unity Catalog. - Continuous Delivery: Develop and operate automated CI/CD pipelines for infrastructure, Databricks workloads and Power BI using Azure DevOps or GitHub Actions.
- Platform Automation: Build and maintain Azure and Databricks infrastructure using Terraform or Bicep, covering areas such as storage, networking, access controls, and Unity Catalog. - Continuous Delivery: Develop and operate automated CI/CD pipelines for infrastructure, Databricks workloads and Power BI using Azure DevOps or GitHub Actions. - Data Platform Engineering: Create reusable, metadata-driven ingestion and processing capabilities using Azure Data Factory, Databricks, Delta Lake, PySpark and SQL.
- You have strong practical expertise in Microsoft Azure and Azure Databricks, complemented by experience with technologies such as Terraform or Bicep, CI/CD, Unity Catalog, Delta Lake, Azure Data Factory, Python, SQL and PySpark. - Experience with Power BI platform administration or deployment automation is valuable. - You combine hands-on engineering and pragmatic problem solving with an enthusiasm for automation and AI.
Your next step
Complete your application on essity.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Senior Platform Engineer – Data and Analytics (F/M/D)
Ready to shape the next generation of Data & Analytics? Excited by Azure, Databricks and AI-powered automation? Want to turn complex technology into simple, scalable experiences? Join Essity and help us innovate for good.
About the Role
As a Senior Platform Engineer within our Data & Analytics environment, you will help build, automate, and evolve the engineering foundations that enable analytics and AI solutions to operate securely, reliably and at scale.
This is a hands-on platform engineering role where you will work across Microsoft Azure, Azure Databricks and Power BI.
You will strengthen DevOps and infrastructure-as-code capabilities while developing reusable platform services that make it easier for teams to build and consume data and analytics solutions.
You will also help shape how we use AI and intelligent automation to accelerate our move towards greater self-service analytics and AI powered decision intelligence.
What You Will Do
- Platform Automation: Build and maintain Azure and Databricks infrastructure using Terraform or Bicep, covering areas such as storage, networking, access controls, and Unity Catalog.
- Continuous Delivery: Develop and operate automated CI/CD pipelines for infrastructure, Databricks workloads and Power BI using Azure DevOps or GitHub Actions.
- Data Platform Engineering: Create reusable, metadata-driven ingestion and processing capabilities using Azure Data Factory, Databricks, Delta Lake, PySpark and SQL.
- Security & Governance: Strengthen platform security, access management, lineage, data quality, and governance to support trusted data and analytics.
- Reliability & Optimisation: Improve monitoring, performance, operational resilience, and cost efficiency across the platform.
- Engineering Standards: Establish good engineering practices, review technical solutions, mentor colleagues, and support teams in using the platform effectively.
- AI-First Engineering: Identify practical opportunities to use AI and intelligent automation to reduce manual work and continuously improve the engineering and user experience.
Who You Are
- You bring relevant technical education or equivalent practical experience that provides a strong foundation for enterprise platform engineering.
- You have 6+ years of relevant experience in platform engineering, DevOps or data engineering within enterprise cloud environments, with hands-on experience delivering solutions in real projects.
- You have strong practical expertise in Microsoft Azure and Azure Databricks, complemented by experience with technologies such as Terraform or Bicep, CI/CD, Unity Catalog, Delta Lake, Azure Data Factory, Python, SQL and PySpark.
- Experience with Power BI platform administration or deployment automation is valuable.
- You combine hands-on engineering and pragmatic problem solving with an enthusiasm for automation and AI.
- You collaborate respectfully, share knowledge, adapt to different stakeholders and can make complex technical topics understandable to non-technical audiences.
- You are comfortable collaborating in an international environment with geographically distributed colleagues.
- Fluent in English - All Applicants are requested to deliver their CV in English language.
What We Can Offer You
Our purpose, Breaking Barriers to Well-being, provides meaning to everything we do. Join us to improve well-being for people and drive positive change for society and the environment. At Essity, you'll feel valued, empowered to grow, and challenged to achieve business results in a collaborative and open atmosphere.
Innovate for Good | Excel Together | Be You with Us
This is a multi-location role with flexibility to be based in Lisbon (primary location), Munich, Hamburg, or Gothenburg collaborating with international teams across all regions.
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Application End Date:
15 nov. 2026Job Requisition ID:
Essity262654Source details
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Lisbon, Portugal
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