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Deloitte
Deloitte

Senior Manager | Data Engineer & Cloud Analytics

Madrid, Spain·Competitive·Hybrid·Senior · 2+ years·Spanish: Fluent·English: Required

Added 3 days ago

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Job description


Imagine yourself participating in the transformation of the leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

About the position

We are looking to hire a Senior Manager or Senior Consulting Manager to strengthen our Data Engineering and Architecture team.

The selected person will play a key role in the growth of the practice, combining business development, client leadership, solution definition, and overall project management for Data & Analytics. We are looking for a profile with commercial autonomy, the ability to manage complex initiatives, and experience leading consulting teams in demanding technological environments.

They will be responsible for driving data-related opportunities, developing trusting relationships with clients and technology partners, and ensuring the correct technical, economic, and operational execution of the projects under their responsibility.

What will your mission be?

Contribute to the development of our Data Engineering, Data Architecture, and Cloud Analytics offerings, leading both the commercial activity and the execution of projects and the evolution of the team.

The position combines four main dimensions:

  • Business development and management of large accounts.
  • Technical and economic management of projects.
  • Support in the definition of data architectures and solutions.
  • Leadership, development, and growth of teams.

What responsibilities will you assume?

Business development and commercial leadership

  • Identify, develop, and lead commercial opportunities related to Data Engineering, Cloud Analytics, Data Platforms, and Data Strategy.
  • Manage client relationships, generating new opportunities and contributing to the opening and development of accounts.
  • Lead pre-sales processes and responses to complex and large-scale RFPs.
  • Coordinate the preparation of proposals, economic estimates, service models, and work plans.
  • Conduct commercial and technical defenses before business and technology interlocutors.
  • Define value propositions and solutions around:
  • Data Strategy and Data Assessments.
  • Modern Data Platforms and Data Lakes.
  • Cloud, hybrid, and on-premise data architectures.
  • Business Intelligence and Analytics.
  • DataOps and MLOps.
  • Streaming platforms and real-time processing.
  • Develop relationships with technology alliances and partners, identifying joint market opportunities.

Project management and economic management

  • Concurrently manage a portfolio of approximately three or four projects.
  • Ensure compliance with scope, quality, time, and budget commitments.
  • Manage risks, dependencies, planning, capacity, and team workload.
  • Monitor the financial progress of projects, including revenues, costs, margins, forecasts, and deviations.
  • Maintain executive communication with clients throughout the project lifecycle.
  • Participate in the resolution of critical situations, facilitating decision-making and the definition of action plans.
  • Ensure the quality of deliverables and the coherence of solutions with the client's objectives.

Technical and solution leadership

  • Lead the definition of data architectures and solutions from a management, viability, value, and commercial positioning perspective.
  • Guide teams in the selection of technologies, architectural patterns, and implementation models.
  • Connect business needs with scalable, secure, and sustainable data engineering and architecture solutions.
  • Participate in architecture reviews, estimates, transition plans, and technological roadmaps.
  • Identify technical and operational risks during the pre-sales and execution phases.

Team management and development

  • Lead teams of between 10 and 20 professionals, with the capacity to assume structures of more than 20-25 people as the practice grows.
  • Coordinate managers, architects, specialists, consultants, and engineering profiles.
  • Build teams and develop capabilities, fostering the incorporation, training, and evolution of new professionals.
  • Monitor performance, professional development, assignment, and team workload.
  • Promote collaboration, autonomy, and knowledge sharing.
  • Act as a reference for the team, generating methodology, best practices, and a culture of technical excellence and customer orientation.

What profile are we looking for?

Professional experience

  • Previous experience of more than 2 years performing Manager functions in Data, Analytics, Cloud, or technological transformation projects.
  • Proven experience in the technical and economic management of consulting projects.
  • Experience managing multiple projects simultaneously, with responsibility for deadlines, risks, budget, margin, and teams.
  • Experience in the development and management of large accounts.
  • Experience leading pre-sales, proposals, and responses to RFPs.
  • Ability to define and defend data architectures and solutions before technical and executive interlocutors.
  • Experience managing teams of more than 10 people.
  • Experience managing a unit, project portfolio, or account with responsibility for its economic performance will be valued.

Education

  • University degree in:
  • Computer Engineering.
  • Telecommunications Engineering.
  • Industrial Engineering.
  • Mathematics.
  • Physics.
  • Other equivalent technical degrees.

Languages

  • Fluent English (B2/C1, preferably C1). You must be able to lead meetings, defend an architecture, and write complex technical documentation in English.
  • Ability to participate in proposals, meetings, and presentations in international environments.

Technological knowledge

We are looking for a profile with a broad vision of data architectures and the ability to make decisions and lead solutions. It is not essential to be a hands-on technical specialist in all technologies, but rather to have sufficient knowledge to guide proposals, validate architectures, and maintain high-level conversations with clients and technical teams.

The following areas of experience will be valued:

Data architectures and platforms

  • Analytics architectures in cloud, hybrid, and on-premise environments.
  • Data Lakes, Data Warehouses, Lakehouse, and Modern Data Platforms.
  • Batch, streaming processing, and event-driven architectures.
  • Data integration, governance, security, and quality.
  • DataOps, DevOps, and MLOps applied to data platforms.

Cloud and analytics platforms

  • Microsoft Azure: Azure Data Factory, Azure Data Lake, Synapse Analytics, Azure SQL, Analysis Services, Databricks, Delta Lake, and Power BI.
  • Google Cloud Platform: Cloud Storage, Dataproc, Dataflow, BigQuery, and visualization tools from the Google Cloud ecosystem.
  • Amazon Web Services: AWS Lambda, Glue, S3, Redshift, Athena, Redshift Spectrum, and Kinesis.
  • Snowflake.
  • Databricks.

Data engineering and integration

  • Apache Kafka, Kafka Connect, and event processing technologies.
  • Hadoop ecosystems and platforms like Cloudera.
  • SQL databases, including Oracle, Microsoft SQL Server, and MySQL.
  • Data integration, transformation, and exploitation tools and patterns.

Valuable certifications

Professional certifications related to:

  • Microsoft Azure.
  • Google Cloud Platform.
  • Amazon Web Services.
  • Snowflake.
  • Databricks.
  • Service and project management, such as ITIL or PMP.

Certifications will be considered a positive element, although real experience in client management, business development, team leadership, and project management will be prioritized.

Key Competencies

Customer orientation

Ability to understand client priorities, build trusting relationships, and turn business needs into concrete initiatives and solutions.

Communication and influence

Executive, clear, and convincing communication. Ability to present and defend proposals before business managers, CIOs, CDOs, architecture managers, and technical teams.

Commercial autonomy

Ability to develop client relationships, open opportunities, mobilize internal teams, and lead commercial defenses with little dependence on third parties.

Commercial capacity

Experience leading complex RFPs, articulating value propositions, defining solutions, and coordinating the technical, economic, and operational components of an offer.

Leadership

Ability to lead multidisciplinary teams, delegate responsibilities, develop talent, and support the growth of the practice.

Teamwork

Orientation towards creating sustainable capacity, sharing knowledge, and generating a community of professionals around data engineering and architecture.

Economic management

Solidity in the preparation and monitoring of budgets, estimates, margins, forecasts, assignments, and capacity plans.

Initiative and proactiveness

Ability to anticipate needs, identify opportunities, and make decisions in complex contexts or with incomplete information.

Technological and business vision

Ability to evaluate a solution not only for its technical adequacy, but also for its economic viability, scalability, impact, and alignment with the client's strategy.

Other requirements

  • Flexibility to work with different industries, clients, and teams.
  • Ability to operate in environments of growth, transformation, and high demand.
  • Orientation towards results, quality, and impact generation.

What is it like to work at Deloitte?

🤩 High-impact projects where you will have a long career and learning path

☯️ Hybrid-flexible day-to-day: you will have flexible hours and a good balance between remote work and teamwork in our offices or those of our clients

⚽ Good atmosphere inside and outside the office: you will enjoy several team-building activities per year, cultural and sports activities... and much more!

🧘♀️ Comprehensive well-being: take care of yourself with our physical, mental, and financial health program... and with a medical team in the offices!

🤲 Social impact: You can sign up for a large number of national and international volunteering opportunities and pro-bono projects to put your time and talent at the service of those who need it most

🗣️Feedback and continuous learning culture: you will grow in an inclusive environment where equal opportunities and your personalized training plan will boost your development. Can you already see yourself at the Deloitte University in Paris?

🤝 Exclusive benefits for being part of Deloitte: you will be able to enjoy a wide catalog of benefits and a comprehensive flexible compensation plan

If you like what you read, these are your next steps:

  • Apply to the offer by clicking on 'Send application now' and complete your profile
  • If you fit the position, our talent team will contact you to get to know you better

Start the process! We will guide you through the different phases until your incorporation.


This job was automatically translated to English, .

About the company

Deloitte

Deloitte

Consulting

View company profile
International company
457000 employees
Spain HQ: Madrid

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