Senior Data Engineer
Sofia, Bulgaria
Applications have closed
Telefonica Tech
With the technology decisions you make today - Build secure digital resilience. Layer by layer.Company Description
Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.
We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.
The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI (Adatis), Enterprise Applications (Incremental), Workplace Services and Cyber Security & Networking.
Values: Open, Trusted and Bold
Trusted Partners:
- Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner
- HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year
- Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio
- Fortinet: Elite VIP Program – one of only 2 in the UK
- AWS: Advanced Solution & Managed Service Provider Program
Job Description
ROLE
The role will vary depending on the project, but will primarily focus on the delivery of enterprise-level applications in the Business Intelligence and Data Analytics arena to our clients worldwide.
You will be working remotely from Bulgaria (from home or from the office), collaborating and socialising with your colleagues across our two UK offices. Occasionally, we would need your help outside of the normal office hours which of course, will be highly recognised and rewarded. There will be some occasional travel, for example, you may spend a week getting trained in our UK offices or requirements gathering with clients, although not during the current pandemic.
RESPONSIBILITIES
- Working on projects that utilise products within the Microsoft Azure and SQL Data analytics stack
- Satisfying the expectations and requirements of customers, both internal and external
- Supporting others in their development
- Contributing to the internal and external community
TECHNICAL SKILLS
Peoples skills vary and that’s great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft certifications are useful but not mandatory – we’ll help you get those!
Core:
- T-SQL / Python
- Azure Modern Data Platform Services (Data Lake, Data Factory, Databricks, Synapse)
- Power BI / Analysis Services / DAX / SQL
- Data Modelling / Data Warehouse Theory
Nice to have:
- MSBI Traditional Stack (SSAS, SSIS, SSRS)
- Azure DevOps /CI /CD / YAML / ARM / Terraform
- Azure Automation / PowerShell
- Azure Streaming Analytics / Spark Streaming
- Azure Functions / C# .NET
- PowerApps
- Data Science
- Master Data Management / MDS
Qualifications
- Industry experience in delivering Microsoft Azure/SQL Data Analytics solutions, with a good grounding in all associated areas
- Proven written and spoken English
- Strategic and operational decision-making skills
- Outstanding interpersonal skills
- Ability and attitude towards investigating and sharing new technologies
- Ability to guide, direct or influence people
- Ability to identify opportunities and issues
- Willingness to learn based on feedback
- Able to help others develop
- Ideally, degree educated - computer science, data analysis etc
- Microsoft certified (nice to have)
Additional Information
We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.
We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Business Intelligence Computer Science Data analysis Data Analytics Databricks Data management Data warehouse DevOps Power BI Python Security Spark SQL SSIS Streaming Terraform T-SQL
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