Ayming

Information Technology And Services

DataIntegrationEngineer

Lisboa, Lisboa, Portugal FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Integration Engineer at Ayming. Skills: Data Integration, Data Pipelines, BI Tools, Cloud Environments. Contribute to development and maintenance of data interoperability. Participate in Aym-otion migration”

What You'll Achieve.

Seamless data integration; Driving success of Aym-otion migration; Enable seamless data consumption

Industry & Context.

Information Technology And Services
Problems you'll solve

Technical architecture decisions

Eligibility Requirements

12-month fixed-term contract

What They're Looking For.

Must Have

2+ years of experience in data integration, analytics engineering, or BI development, Experience working within technical or cross‑functional teams on data integration or analytics initiatives, Good understanding of interoperability architectures, including APIs, event streaming, and ETL/ELT patterns, Hands‑on experience building and maintaining data pipelines, supporting migration efforts, and working with BI tools (SnapLogic or similar), Working knowledge of cloud environments such as Azure and/or AWS, communication skills and the ability to collaborate effectively with business and IT stakeholders

Nice to Have

Passion for data & BI, Curiosity and eagerness to learn new tools & technologies, Comfortable collaborating with cross-functional teams, Proactive, autonomous, and able to propose improvements rather than just implement requirements

What You'll Do.

Contribute to development and maintenance of data interoperability

Participate in Aym-otion migration

Implement data mapping

Maintain reliable pipelines

and maintain interoperability and migration pipelines

Implement and support embedded BI dashboards

Gather integration requirements

Translate requirements into technical solutions

Work hands-on on complex data flows

Apply and support best practices

How You'll Work.

Team & Collaboration

Working closely with cross-functional teams; Collaborate with business and IT teams; Collaborating with cross-functional teams

Communication Scope

Communicate effectively with business and IT stakeholders

Full Job Description

As a professional services company , Ayming partners with businesses and institutions around the world to unlock lasting value. With a team of over 1,500 experts in Innovation, HR, and Taxes across 14 countries; our three delivery modes are: consulting services, digital services and managed services. As a Data Integration Engineer, you will play a key role in our company-wide Data & AI transformation. You will contribute to the seamless data integration across Ayming’s systems and driving the success of the Aym‑otion migration. This role is open on an 12-month fixed-term contract. You will: * Contribute to the development and maintenance of data interoperability across Ayming systems, working closely with cross‑functional teams. * Participate actively in the Aym‑otion migration by implementing data mapping, ensuring data quality, and maintaining reliable pipelines. * Design, build, and maintain interoperability and migration pipelines in compliance with governance and documentation standards. * Implement and support embedded BI dashboards within applications to enable seamless data consumption. * Collaborate with business and IT teams to gather integration requirements and translate them into effective technical solutions. * Ensure scalability, reliability, security, and performance of data integration components through careful design and monitoring. * Work hands‑on on complex data flows, including pipeline design, debugging, and technical architecture decisions. * Apply and support best practices in data integration, metadata management, and reuse of shared pipelines. ## Qualifications You have: * 2+ years of experience in data integration, analytics engineering, or BI development. * Experience working within technical or cross‑functional teams on data integration or analytics initiatives. * Good understanding of interoperability architectures, including APIs, event streaming, and ETL/ELT patterns. * Hands‑on experience building and maintaining data pipelines, sup

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