Data Engineer (DBT) (m/f/d) at synvert International(Recruiting)

Viseu, Leiria, Portugal -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dbt, Terraform, SQL, AWS, S3, Athena, MSK, Snowflake, Fivetran, Generative AI, LLMs, Data Quality Testing, Infrastructure as Code, Data Migration, English Communication, Data Modeling

Industry

IT Services and IT Consulting

Description

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: Agile Company Culture and the Best Team →Global Projects & Opportunities →Social Events & Team Building Continuous Development →Training & Development →Growth Opportunities Flexible Working →Remote Friendly Culture Other Benefits →Great Equipment & Tools →Flexible Benefits →Extra Days Off →Health Insurance Hiring Process One of the perks of being a part of synvert is that you’ll join a global team of over 500 experts from Germany to the UK, Croatia and even the UAE. As a member of our team, you’ll have the opportunity to work on cutting-edge cloud native and AI solutions, leveraging synvert's extensive industry knowledge and technical expertise. Join us and be at the forefront of delivering excellence in DevOps, Data, and Digital Products! And even if you don’t think you meet 100% of the requirements, submit your application. We’re always happy to meet new people! See you on the other side! And just as a FYI, here’s what you can expect from our application process: → PX Interview →Tech Interview → Final Interview → Offer

Responsibilities

Lead the quality-driven migration of data pipelines by engaging with dataset owners and optimizing existing queries. Establish data quality tests, monitoring infrastructure, and ensure security compliance for PII fields.