Data Engineering Manager

hace 3 semanas

Madrid, España Mantu A tiempo completo

**Who are we?**:
**Mantu** is an international company providing guidance and services to businesses and entrepreneurs. We ourselves are entrepreneurs: we started out from scratch and built a successful business based on our values and our “Tomorrow is human” vision. We constantly generate opportunities for a vast talent community and encourage our team members to have an impact and make a difference. This is how our team has grown to more than 7000 talented people of more than 100 different nationalities, spread across 5 continents and more than 60 countries. We have many brands in our portfolio and regardless of their expertise or the sector they operate in, they all share a single mission: achieving businesses’ and entrepreneurs’ ambitions.

**Brief Call**: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you

**Interviews** (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Mantu: our culture, our roots, our teams, and your career opportunities

**Case study**: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

We look forward to meeting you
**Job description**:
**Your role**:

- As a **data engineering manager**, you will primarily manage, coach, and develop a data engineering team.
- Coordinate with analyst and report maker on needs, fulfil and organize backlog.
- Deliver, with your teammates, new features, data flows and datasets efficiently with Microsoft Azure Data services (Data Factory, Synapse, Database, Datalake, Logic Apps) and Power BI.
- Dispatch development across your team members, organize plannings and deliveries.
- Review team code, ensure quality, manage source control (GIT) and CI/CD (Azure Dev Ops) operations.
- Analyze data engineering issues and requests to provide strong support to users' communities.
- Works to set the data vision and roadmap with head of department, IT, and governances.

**Profile description**:

- You are Data enthusiast and have strong technical experience specifically in the development of datawarehouse or something equivalent
- You already have project management habits.
- You like to drive and follow multiple tasks & projects at the same time. You are able to prioritize and estimate technical tasks within the team.
- You are solution oriented and find technical ways to answer needs. You plan sustainable solutions.
- You are graduated from Engineering School or hold an IT Master Degree
- You have between 4 and 10 years of experience minimum working in Microsoft Data and Azure topics. DevOps experience is a plus.
- You are a proactive person who like to learn new things. You are curious, you like to understand the global picture and work in international teams

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