基本版
Data Engineer
已發佈: 18.05.2026
交割日期: 02.07.2026
工作推薦: a2a53b164a94e897f3bc52b90d6cba64
職務資訊
地理位置
Lisboa, Lisbon Metropolitan Area, Portugal
公司
Jobio
客戶/雇主
Ascent
工作推薦
a2a53b164a94e897f3bc52b90d6cba64
登錄類型
基本版
需要歐盟工作許可
不
已發佈
18.05.2026
交割日期
02.07.2026
職務說明
If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!**This position is available for candidates based in Portugal, Malta and Bulgaria. About UsAscent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We are an engineering business. We design, build and manage cloud-native products, solutions, platforms & experiences on Azure.Our pan-European community of engineers, architects, data scientists and digital consultants helps customers take on challenges and opportunities, so they can do something new, or do existing things better.From global insurance, pharma, healthcare and retail to smart home devices, space exploration and cricket - we get to work with some of the sharpest minds in the brightest businesses.About the roleAs a Data Engineer at Ascent, you get to work at the heart of our customer businesses to understand their data problems, identify needs and develop solutions to help them. You’ll join our practice of market-leading data professionals and work typically as part of a cross-functional team on customer projects, supporting their journey through digital transformation, or helping them do existing things in a much better way.Your Role As a Senior Data Engineer, you will:Collaborate and Innovate: Partner with both internal and customer stakeholders and teams to understand business needs and produce high quality data products and assets. Create Success: Work alongside our solution architects to build trusted customer relationships, and lay the foundation for successful, best practice data engineering. Leverage Expertise: Be a subject matter expert in data engineering and surrounding practices and services. Build well-structured data pipelines, elegant data models and supporting transformations and tests. Share Experience: Support and mentor more junior team members, stay current with emerging trends and share insights through blogs and other media. Work in a Hybrid Environment: Participate in weekly in-person meetings at our London or Bristol offices, with occasional travel to customer sites. Enjoy a flexible blend of remote and on-site work. Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective. Data Engineering architecture. Building up blueprints and guides when implementing solutions. Where possible we need to implement top level designs that can be applied to multiple clients.Pre-sales support. Be a part of the pre sales initiative to give a Data Engineering viewpoint of proposed solutions.Your SkillsAzure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer and optimise our customer's data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to be an expert in these but need to understand where they fit into the picture. DevOps: Experience with CI/CD promotion from Dev to Prod, through tools like Fabric, Azure DevOps, and/or GitHub. Exceptional Communication: Strong verbal, written, and presentation skills to both internal and external audiences. Versatile Experience: Working with varying organisations, from SMC to Enterprise. Agile Methodologies: Commercial Agile experience is desirable. Certification Preferred: Microsoft certifications are advantageous. AI Aware: An understanding of Data Science and knowledge of Generative AI would be beneficial, but not a firm requirement. Working at AscentAt Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.If you have any questions contact our Talent Acquisition team on ******** .For more details about life at Ascent, check out our Life Page here.Ascent is now an Acuity Knowledge Partner Company. Read here.
技能
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases