Senior & Mid Analytics Engineers | Tech Hub

Lisbon, Portugal
Mid-level (2-3 Years)
Hybrid
English Required Not Accepting Candidates Living Abroad

Opportunity for an international Tech Hub emerging from Lisbon.
We are seeking motivated and skilled Senior Analytics Engineers and Mid Analytics Engineers to lead the design, implementation, and optimization of advanced analytical solutions. This exciting opportunity demands strategic thinkers who can align technical decisions with business goals, mentor team members, and drive impactful decision-making across interdisciplinary groups.
Responsibilities:
  • Model and transform data into consistent analytical structures.
  • Build and optimize ELT pipelines and quality tests.
  • Ensure clear documentation (business rules, lineage, transformation logic).
  • Monitor datasets, quality, SLAs, and performance.
  • Support DS/BI/ML with reliable data and semantic layers.
  • Collaborate closely with DE/DS/MLE/PO for integrated and value-driven deliveries.
Required Qualifications to be successful at this role:
Technical Skills:
  • Advanced Data Modeling and Architecture: Expertise in star schema, dimensional modeling, medallion architecture, schema evolution management, and semantic layer design.
  • Large‑Scale Semantic Layer & Data Model Optimization: Building and optimizing large-scale models, ensuring performance, consistency, and governance.
  • Pipeline Orchestration and Automation: Experience with ETL/ELT tools like Azure Data Factory, Apache Airflow, Microsoft Fabric, Databricks Workflows.
  • SQL Expertise & Performance Engineering: Proficiency in query tuning, partitioning, clustering, and handling large volumes of data with scalable SQL.
  • Advanced Transformations with Python/Spark: Expertise in using PySpark, Spark SQL, and structured Python for advanced data transformations.
  • CI/CD and Versioning for Data Pipelines: Experience with implementing CI/CD pipelines, version control, and DevOps best practices for data.
  • Data Quality Frameworks & Observability: Rule definition, automated data validation, end-to-end monitoring, and observability.
  • Data Governance, Cataloging, and Lineage: Practical use of tools like Microsoft Purview or Unity Catalog for governance, cataloging, and lineage tracing.
  • BI Modeling and Performance: Advanced semantic modeling in Power BI, DAX optimization, and efficient analytical model design.
  • Cloud Data Warehousing and Technical Architecture: Hands-on experience with platforms like BigQuery, Snowflake, Synapse, Delta Lake, ADLS, and Redshift; understanding system interdependencies.
Soft Skills:
  • Ability to clearly align and bridge the needs of business, Business Intelligence, Data Science, and Data Engineering teams, transforming requests into actionable technical requirements.
  • Supports the growth of junior profiles through guidance and functional reviews while promoting collective improvement in the team's output quality.
  • Demonstrates accountability for delivering high-quality, consistent, and stable models and analyses while sustaining team trust and reliability.
  • Tackles ambiguous issues with a structured approach, identifies root causes, and proposes scalable and effective solutions to mitigate them.
  • Easily adapts to shifting priorities, efficiently generates workload plans, and proactively communicates risks to maintain smooth operations.
Experience Requirements:
Senior Analytics Engineer:
  • Professional Experience: Minimum 5+ years in data analytics environments with a proven record of architecting and deploying production-grade analytical solutions.
Mid Analytics Engineer:
  • Professional Experience: Minimum 3+ years in data analytics environments with hands-on contribution to reliable data solutions.
Other Requirements:
  • Educational Background: A degree in Data Science, Computer Science, Analytics, Machine Learning, or a related domain.
  • Language Skills: Proficiency in English at a minimum B2 level or higher.
We want to remind you that it is crucial to validate the following points before sharing any candidate:
  • Work model: 2 days per week in the office and 3 days at home.
  • Work schedule: At Accenture, we work under two different schedules. This work schedule provides 12 additional Compensation Days in addition to the normal holiday days. These are fixed days during national holiday periods (5 days between Christmas and New Year's Eve, 5 days during Easter, and 2 days during Carnival)
  • During Winter (From October to May – 8 months) we work 43 hours/week:
    • Friday: 09h - 17h (7 Hours/day)
    • From Monday to Thursday: 09h - 19h (9 hours/day)
  • During Summer (From June to September – 4 months) we work 39 hours/week:
    • Friday: 09h - 17h (7 Hours/day)
    • From Monday to Thursday: 09h - 18h (8 hours/day)

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What we offer:

  • A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
  • A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
  • An empowering and respectful work culture enriched with social and learning events.
  • A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.
At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.
Luis Caldeira, DevOps @ KWAN
At KWAN, I’m given the space to be myself and do what I love. I have control over the projects I work on, as well as the direction of my career.
Pedro Fonseca, Front End Developer @ KWAN
I see my People Experience Partner as someone who is always available to provide me with motivation and constant feedback, which helps me be sure that I am in the right place.
Josimar dos Reis, Software Developer @ KWAN
I know that I’ve contributed to the growth of a company that truly values a “people first culture”, because my ideas, experiences, and individuality were always appreciated.
João Nascimento, Software Developer (KWAN Alumni)
My two years at KWAN were an incredible experience! From the start, I was welcomed into a warm and collaborative environment where I felt truly supported.
Laís Ortiz, Software Developer @ (KWAN Alumni)
Grab this opportunity, apply now!

What You Can Expect as a KWANer

Respect isn’t optional here

You’re trusted to deliver and supported to speak up.

Dedicated People Experience Partner

Someone accountable for your growth, not your allocation.

Continuous learning, built in

Learning that keeps pace with the systems you build.

Recognition that’s visible

Your impact doesn’t go unnoticed. Through our Rocket Points System, we constantly recognize your contributions.

A culture you can feel

From movie and quiz nights to dinners and our annual summer gathering, we don’t just work together - we build real connections.

Flexible spaces to work your way

Remote-first, with physical hubs when you want connection.

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