Senior Data Engineer Consultant
Porto, Porto District, Portugal
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingCapture client requirements and model data for a solution architecture
Implement solutions using best practices for data management and transformation
Design and develop reports and dashboards for clear business presentation
Advise clients on data and analytics best practices and deliver on time and budget
From the employer’s posting
Capture client requirements and model data to develop an effective intelligence solution architecture.
Implement solutions using best practices for the management and transformation of data.
Design and develop effective reports and dashboards to present information in a clear and informative manner.
Advising clients on the best data and analytics practices and deliver data and analytics capabilities on time and to budget.
What you’ll bring
All qualificationsCore experience
- Ability to translate business requirements into technical requirements.
- Ability to model and transform data, build ETL solutions and present data in a useful business context.
- Hands-on experience with modern programming languages such as Python.
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
- Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
- Experience within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams.
Qualification wording
Ability to translate business requirements into technical requirements.
Ability to model and transform data, build ETL solutions and present data in a useful business context.
Hands-on experience with modern programming languages such as Python.
Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
Experience within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams.
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Power BI
- SQL Server
- SSRS
- Tableau
Source — Tool mentions in context
- Ability to model and transform data, build ETL solutions and present data in a useful business context. - Hands-on experience with modern programming languages such as Python. - Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
- Strong client facing experience, previously working for a management consultancy or system integrator. - Demonstrable experience designing or developing advanced business intelligence & analytics solutions using the full Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS). - Ability to translate business requirements into technical requirements.
- Hands-on experience with modern programming languages such as Python. - Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks. - Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Solution Partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy company working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses.
- Ability to translate business requirements into technical requirements. - Design & development experience using data discovery tools such as Microsoft Power BI, QlikView, Tableau. - Ability to model and transform data, build ETL solutions and present data in a useful business context.
Benefits in the posting
Full benefits wording- Health insurance.
- 25 annual leave days.
- Pension Plan.
- Beware of scams
- Company Description
- Be part of our Hitachi family
From the employer’s posting.
Posting record
Report an errorLikely evergreenReposted 2 times since Aug 19, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 13, 2026 · 16 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 29, 2026
- Reposted
- 2 times since Aug 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
Job Description
We are growing our consulting team and looking for Senior Data Engineer Consultants to join us on our exciting journey and be part of the Hitachi Solutions family.
In this role you will be providing bespoke and cutting edge advanced analytics solutions, bringing significant commercial advantage to some of the UK’s most recognised companies.
The successful candidate will draw upon their experience with data engineering and business intelligence tools and techniques to advise clients on data and analytics best practices and deliver data and analytics solutions on time and to budget.
The main areas of responsibility are:
- Advising clients on the best data and analytics practices and deliver data and analytics capabilities on time and to budget.
- Capture client requirements and model data to develop an effective intelligence solution architecture.
- Develop or design bespoke Data Platform, Business Intelligence and Advanced Analytics solutions, leveraging the latest cloud technologies.
- Implement solutions using best practices for the management and transformation of data.
- Design and develop effective reports and dashboards to present information in a clear and informative manner.
Qualifications
We are looking for ambitious consulting professionals who combine their technical acumen with a genuine enthusiasm for improving organisations.
- Strong client facing experience, previously working for a management consultancy or system integrator.
- Demonstrable experience designing or developing advanced business intelligence & analytics solutions using the full Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS).
- Ability to translate business requirements into technical requirements.
- Design & development experience using data discovery tools such as Microsoft Power BI, QlikView, Tableau.
- Ability to model and transform data, build ETL solutions and present data in a useful business context.
- Hands-on experience with modern programming languages such as Python.
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
- Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
- Experience within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams.
- Excellent communication and problem-solving skills.
Additional Information
Your Benefits
• Flexible and friendly work environment.
• Hybrid work model.
• Work-life balance.
• Competitive salary.
• Health insurance.
• 25 annual leave days.
• Mobile phone and public transport allowances.
• Employee Assistance Programme.
• Pension Plan.
Beware of scams
Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests.
All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Company Description
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Solution Partner and Cloud Services partner, specialising in end-to-end transformation.
As a global consultancy company working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.
Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses.
To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.
Be part of our Hitachi family
We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation. Through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Porto, Porto District, Portugal
• Flexible and friendly work environment. • Hybrid work model. • Work-life balance.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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