Senior Data Engineer – Applied AI, Python, Databricks, Snowflake, BigQuery

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HumanIT Digital Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤝 B2B

🎯 Recruiter

B2B • Recruitment

HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.

📋 Description

• You'll join a team building AI-powered accelerators that generate correct, idiomatic, production-ready code across major cloud data platforms — Databricks, Snowflake, BigQuery, and AWS. • Your work spans building platform adapters, encoding platform-specific correctness rules into validators and evaluation layers, and shaping high-value generation targets including ingestion pipelines, transformation logic, warehouse/catalog scaffolding, orchestration, IaC, CI/CD, and governance accelerators (data contracts, lineage, metadata, PII, data quality). • You'll work closely with delivery teams and design partners to ensure outputs are reviewable, adopted, and genuinely used.

🎯 Requirements

• Minimum 5 years of experience as a Data Engineer with a track record of end-to-end delivery in fast-paced environments • Professional fluency in English, with strong cross-team collaboration and the ability to guide others • Solid grounding in engineering and architectural best practices, comfortable with CI/CD and Git-based workflows • Strong production software engineering skills: Python, testing, CI/CD, REST, Docker • Real depth in at least one modern cloud data platform (Databricks/Spark, Snowflake, or BigQuery), strong SQL and data modeling skills, and the ability to reason across other platforms • Practical AI engineering experience: prompt design, structured outputs, function calling, and evaluation, using Anthropic and/or OpenAI APIs • Experience with code-as-data workflows: codegen, templating, and validating/parsing generated code for review

🏖️ Benefits

• 15th month salary • Health insurance covering your family • Birthday off • Mobility program for digital nomads • Real work-life balance