Senior Platform Engineer – Data and Analytics (M/F/D)

Essity is hiring a Senior Platform Engineer – Data and Analytics (M/F/D) in Lisbon, Portugal. Level rates it ; you can apply on Essity.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Databricks and AI automation.
Level classifies it as a senior role.
Level lists 313 other open roles at Essity.
The role was posted in the last few days.

AI in this role

databricks

ai-automation

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.

#LI-SA2

Application End Date:

15 nov. 2026

Job Requisition ID:

Essity262654

How we rate this

Senior Platform Engineer – Data and Analytics (M/F/D) at Essity rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Platform Engineer – Data and Analytics (M/F/D) is an open job at Essity.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Lisbon, Portugal.
The job was posted on November 2, 2026.
Seniority: senior.
Applications are handled by Essity. Apply on Essity

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationDatabricks

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Walk me through how you've used Databricks in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: AI Automation and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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