Data Engineer (DBT) (m/f/d)

Xgeeks

Lisboa

Presencial

EUR 45 000 - 65 000

Tempo integral

14 dias+

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Agile Company Culture

Global Projects & Opportunities

Health Insurance

Flexible Working

Extra Days Off

Resumo da oferta

Xgeeks is looking for a Data Engineer to drive migration efforts critical for data integrity and compliance. You will engage with stakeholders to assess data usage and identify areas for migration improvement.

Applicants should have at least 3 years of relevant experience, strong SQL skills, and advanced dbt proficiency. Notable perks include a flexible working environment and opportunities for continuous development.

Qualificações

Minimum 3 years of experience in data engineering roles.
Advanced hands-on dbt experience.
Strong SQL skills with a focus on performance.

Responsabilidades

Engage with dataset owners to understand existing data.
Assess ingestion pipelines for correctness and reliability.
Write data quality tests and set up monitoring.

Conhecimentos

Data engineering experience

Advanced dbt expertise

Infrastructure as code

Strong SQL skills

Experience with AWS

Fluent English

Ferramentas

Terraform

Snowflake

Fivetran

Descrição da oferta de emprego

About synvert a GlobalLogic company

synvert, a GlobalLogic company, is a leading cloud, data, and AI services company, partnering with enterprises to design, implement, and manage end-to-end data and AI solutions that drive measurable business impact, combining deep technical expertise with strong industry knowledge across different sectors.

As part of synvert, in Portugal, you’ll join a team of experts pushing the boundaries of AI, Data, Product and Platform Engineering, working alongside an international, multidisciplinary team – all from our offices in Leiria, Lisbon and Viseu (so far!).

About Us

Your Tasks

As a Data Engineer, you will be central to the migration effort — not a lift-and-shift, but a thoughtful, quality-driven transition that improves what already exists. Your responsibilities will include:

Engage with dataset owners across the business to understand what data exists, how it's used, and what needs to be migrated
Assess current ingestion pipelines for correctness and reliability
Map downstream dependencies before migrating any dataset
Identify and flag PII fields across datasets, ensuring the new platform meets security, compliance, and legal requirements from the outset
Review each pipeline critically during migration — not just reproduce it:
- Spot and fix bad joins, poorly structured queries, and unnecessary complexity
- Consolidate intermediate datasets where possible (e.g. reducing 4 staging layers to 2)
Write data quality tests covering null checks, source-to-destination validation, and volumetry
Set up monitoring and alerting infrastructure, with a view to supporting future on-call rotations via PagerDuty and Slack
Validate that outputs from the new platform match the old platform before any decommissioning takes place

What do we expect from you?

Key Requirements:

At least 3 years of experience in data engineering roles
Advanced, hands‑on dbt experience
Solid experience with infrastructure‑as‑code, ideally Terraform
Strong SQL skills and a good eye for query performance
Practical experience with AWS, particularly S3; familiarity with Athena and MSK is a plus
Fluent English and strong communication skills — you'll be working with non-technical stakeholders and dataset owners regularly
A methodical approach to data quality, compliance, and documentation

Nice to have:

Experience with Snowflake
Experience with Fivetran
Resilience and the ability to navigate change and adapt
Experience working in a fast‑paced start‑up environment
Experience developing solutions using Generative AI, LLMs, or agentic architectures
Experience leveraging AI‑powered SDLC workflows for both product and engineering tasks

What you can expect

Perks & Benefits: