Data Engineer
Ayming Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Ayming. Lisboa · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after Databricks pipelines so data flows reliably
- Shape the enterprise data foundation, including its architecture and data models
- Write tested transformation logic that analysts and product teams can reuse
- Deliver documented, reliable datasets for BI, then tune workflows for scale, reliability and cost
- Set data-platform standards and documentation, and help teams adopt modern data practices
What you bring
- At least three years of data engineering experience
- Strong SQL skills, data modeling experience and familiarity with Python for processing and orchestration
- Knowledge of cloud data platforms, warehousing and distributed data processing
- Understanding of CI/CD, version control and managing environments for data workflows
Who this fits
This role suits a mid-level engineer who enjoys improving data quality and maintainability, and can work independently while collaborating with BI, IT and business teams. It is a twelve-month fixed-term contract in Lisbon with a hybrid model and flexible hours, Monday to Friday.
From the employer
As a professional services company, Ayming partners with businesses and institutions around the world to unlock lasting value. With a team of over 1,500 experts in Innovation, HR, and Taxes across 14 countries; our three delivery modes are: consulting services, digital services and managed services. The position is offered on a 12-month fixed-term contract.
As a Data Engineer, you will play a key role in our company-wide Data & AI transformation. You will contribute to the design, implementation, and scaling of our new modern data platform, enabling analytics, BI, and future AI use cases across the organization.
Working alongside Data, BI, and business stakeholders, you will:
Build and maintain reliable data pipelines using Databricks.
Contribute to the architecture and modeling of our enterprise data foundation.
Develop high-quality, well-tested transformation logic, ensuring consistency and reusability.
Enable company-wide BI by delivering trusted, documented, and performant datasets to analysts and product teams.
Optimize data workflows for scale, reliability, and cost efficiency.
Help define engineering standards, best practices, and documentation across the data platform.
Support onboarding and evangelization of modern data practices across the organization.
You have:
3+ years of experience in data engineering.
Hands-on experience with modern data stack components.
Strong SQL skills and experience with data modeling.
Familiarity with Python for data processing and pipeline orchestration.
Knowledge of cloud data ecosystems (Azure, AWS, or GCP), warehousing, and distributed data processing.
Good understanding of CI/CD, version control, and environment management for data workflows.
Experience working with BI teams and enabling analytics use cases.
A mindset focused on quality, reusability, and long-term maintainability of data assets.
You are:
Passionate about modern data engineering and motivated to help shape a scalable data platform.
Curious and eager to learn new tools & technologies.
Comfortable collaborating with cross-functional teams: BI developers, data analysts, IT teams, and business experts.
Proactive, autonomous, and able to propose improvements rather than just implement requirements.
HR Policy
- Unleash your potential with our Ayming Academy and Ayming Digital Academy!
- Grow your career with our tailored support programs, My Professional Journey or MoveWithUS.
- Work your way: enjoy flexibility, inspiring and friendly spaces, with a hybrid work model.
- Connect and celebrate through events and gatherings all year round (Webinars, “Coffee With” etc..)
Local Benefits
- Permanent contract
- Fixed and variable salary
- Coverflex card, allowing you to use your meal allowance (€10.20/worked day) and access a wide range of flexible benefits
- Transport reimbursement up to €40/month
- Private health insurance (AdvanceCare)
- Flexible working hours, Monday to Friday
- 60% remote work per year
- Modern open-space office in Sete Rios, Lisbon
- Career development opportunities in an international environment
LI - HYBRID
LI - MANUELA
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.