Azure Data Engineer

Company Description

Mobica | Be Extraordinary_ 
We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.

The Mobica Way

• Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 

• Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.

• Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities. 

We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends. 

Job Description

As Azure Data Engineer you help the team in setting-up a new DWH environment in Microsoft Azure and deliver the existing on premise data ingestion and data analytics functionality in Azure cloud. You also contribute to fine-tuning the Target architecture with best suitable tools / technologies. In addition to hands-on, you help / guide the team with best practices, technology standards, possible automations etc. in Azure cloud architecture.

Qualifications

Must have skills:

• 5-10 years of experience primarily in Cloud Data engineering, Data warehousing projects
• Experience in Microsoft Azure enterprise Data Lake platform with
  • Azure Data Lake Storage
  • Azure Data Factory
  • Azure Data Factory Dataflow
  • Databricks using Python
  • Azure Functions
  • Azure SQL DB / Synapse
• Experience working in Python and PowerShell
• Experience in building and deploying pipelines in Azure DevOps
• Familiarity with Azure security services – Active Directory, Azure Key Vault, Managed Identities, RBAC, Firewall on VNET & SubNets
• Extensive experience in software development in an agile DevOps environment
• Good communication & interfacing skills and able to work in a structured manner
• Strong in collaboration , Flexibility and showing entrepreneurship
• Eager to be open, learn, advice & implement new technologies
• Good command of English

Nice to have skills:

• Development of APIs to expose data through REST APIs
• Knowledge on Big Data batch and stream ingestion (Lambda architecture)
• Fair knowledge of Data modelling (specifically Dimensional modelling)

Additional Information

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

• Competitive salary adequate to your skills and performance
• Flexible working hours
• Training programs
• Private medical insurance
• Multisport program
• English lessons
• Company social events
• Weekly cakes and fruits
• Relocation assistance