Job Description

🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Snowflake Data Engineer, you will work at the intersection of data, technology, and business, helping our clients design and scale modern data platforms that turn complexity into clarity and insights into impact.

You will play a key role in a strategic data platform migration from Databricks to Snowflake, collaborating with multidisciplinary teams in an international environment and contributing to projects that drive performance, innovation, and data‑driven decision‑making — particularly for complex analytical and financial reporting use cases.

📍 Job location: Remote (Europe‑based)
🕒 Contract type: Contractor (B2B) / Employee is available if based in Portugal
🗓 Target start date: ASAP
⏰ Working hours: Full‑time (40h/week)
💵 Compensation: Daily rate €350 – €500

Note: All applications (CVs) must be submitted in English.

💥 Your Impact

In this role, you will:

• Architect, design, and manage end‑to‑end Snowflake‑based data platforms, ensuring high performance, scalability, and reliability

• Lead data modelling initiatives (dimensional, normalised, and hybrid models) to support complex analytical and financial reporting needs

• Design and implement ETL/ELT pipelines, including orchestration, data ingestion, and real‑time or near‑real‑time streaming integrations

• Collaborate with stakeholders to analyse data requirements, translating business needs into effective data architecture designs.

• Ensure best practices in Snowflake implementation, including performance optimisation, security, access control, and storage management.

• Develop advanced SQL and Python scripts for data transformation, automation, and validation

• Integrate DevOps practices such as CI/CD and infrastructure‑as‑code into the data engineering lifecycle

• Provide architectural leadership and mentoring to data engineers, fostering high standards for delivery, documentation, and collaboration

• Support proofs of concept (POCs) and contribute to technical evaluations of tools and technologies

⚡ What Makes This Role Challenging

• You will work in complex, evolving enterprise data environments

• You will balance architectural rigour with pragmatic delivery

• You will collaborate with diverse stakeholders across teams, cultures, and time zones

• As a senior contractor, autonomy is high — and so is responsibility

👤 What We’re Looking For

Must-haves

• 7+ years of experience in data engineering, including at least 3 years architecting Snowflake solutions at scale

• Strong expertise in SQL and performance tuning for large analytical workloads

• Deep understanding of Snowflake architecture (storage, virtual warehouses, query optimisation, data sharing)

• Proven experience with data modelling (3NF, star/snowflake schemas, analytical data marts)

• Hands‑on experience with ETL/ELT and orchestration tools (e.g. dbt, Airflow, Dataiku, Talend)

• Fluency in Python or similar scripting languages for automation and transformation tasks.

• Solid understanding of DevOps practices in data environments (CI/CD, version control, IaC)

• Familiarity with data governance, security, and compliance in cloud environments

• Strong communication skills and the ability to engage with both technical and business stakeholders

• Fluency in English

• Must be Europe‑based and able to work as a contractor

Nice-to-haves

• Experience in consulting or client‑facing environments

• Exposure to Databricks to Snowflake migration projects

• Experience with cloud platforms ( AWS, Azure, or GCP)

• Knowledge of real‑time data processing frameworks (Kafka, Spark Streaming)

• Background in financial services or insurance is a plus

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.