Data Integration Engineer- Fixed-term contract at Ayming

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Analytics Engineering, BI Development, API, Event Streaming, ETL/ELT, SnapLogic, Azure, AWS, Data Mapping, Data Pipeline Design, Metadata Management, BI Dashboards, Technical Architecture, Data Quality, Cross-functional Collaboration

Industry

Business Consulting and Services

Description

Company 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. Job Description 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, supporting migration efforts, and working with BI tools (SnapLogic or similar). Working knowledge of cloud environments such as Azure and/or AWS. Strong communication skills and the ability to collaborate effectively with business and IT stakeholders. You are: Passionate about data & BI Curious and eager to learn new tools & technologies. Comfortable collaborating with cross-functional teams Proactive, autonomous, and able to propose improvements rather than just implement requirements. Additional Information HR Policy Unleash your potential with our Ayming Academy and Ayming Digital Academy! Grow your career with our tailored support programs, My Professional Journey or MoveWithUS. Work your way: enjoy flexibility, inspiring and friendly spaces, with a hybrid work model. Connect and celebrate through events and gatherings all year round (Webinars, “Coffee With” etc..) Local Benefits Permanent contract Fixed and variable salary Coverflex card, allowing you to use your meal allowance (€10.20/worked day) and access a wide range of flexible benefits Transport reimbursement up to €40/month Private health insurance (AdvanceCare) Flexible working hours, Monday to Friday 60% remote work per year Modern open-space office in Sete Rios, Lisbon Career development opportunities in an international environment LI - HYBRID LI - MANUELA Business Line: Support & Corporate

Responsibilities

The role involves developing and maintaining data interoperability and migration pipelines to support a company-wide Data & AI transformation. Key tasks include implementing data mapping, ensuring data quality, and supporting embedded BI dashboards.