Director - Data Engineering - Munich, Deutschland - Slalom Consulting

Slalom Consulting
Slalom Consulting
Geprüftes Unternehmen
Munich, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office.

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  • At least German C1 skills and fluent English skills are required._

Director - Data Engineering:


Who You'll Work With


At Slalom Build we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation.

We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change.

We're thrilled by the opportunity to build the future we want to see, with anyone willing to join us.


Slalom Build's Data Engineering capability is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products.

Within Data Engineering we help customers build world-class products through effective use of:


  • Data Engineering consisting of streaming / realtime data solutions, modern data platforms, and data systems within products (e.g., database systems, graph databases, keyvalue stores, document databases and transactional systems)
  • Data visualization
  • Machine learning and artificial intelligence

What You'll Do:

Slalom Build's Data Engineering capability is comprised of passionate, flexible technologists who love to practice and hone their craft.

As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery working with some of the most forward-thinking organizations in data and analytics.


You will lead engagements around the design and delivery of innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.

This includes being accountable for leading teams in the analysis, architecture, design, and development of cloud data warehouse and analytics solutions including defining the cloud data strategy and multi-phased implementation roadmap for your clients.


You will partner with your local market business development team on pre-sales activities, including meeting with prospective clients to discuss their needs, shaping those needs into a team-based delivery project, and helping estimate and plan the engagement.


You will be expected to actively contribute to the cloud and big data community at Slalom and drive new capabilities forward.

You will primarily work in a Build Center location with your team.


What You'll Bring:


As a Director in the Data Engineering capability, you will bring an entrepreneurial and progressive mindset to lead the growth and success of our practice.

You are a self-starter, effective in breaking down large problems into smaller ones, and eager to regularly share what you learn with others within your projects and in the broader Slalom Build community.

Your thirst for knowledge and passion for fearless experimentation in new and interesting ways to meet our clients' most pressing data challenges will inspire those around you.

You are skilled at leading and growing direct reports.

You will have an insatiable need to become the best at what you do, with a relentless drive to bring value to your customers as they implement data platforms, migrate data to cloud platforms, and leverage programming languages across a range of technologies including:

  • Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  • Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  • Object Oriented Coding (Java, Python)
  • NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  • Container Management Systems (Kubernetes, Amazon ECS)
  • Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  • Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  • Visual Analytics (Tableau, PowerBI)
  • Modern Data Workflows (Apache Airflow, dbt, Dagster).

About Us

  • Slalom prides itself on helping our team members thrive in their work and life. As a result, Slalom is proud to invest in our team members with competitive and innovative benefit programs and services that meet the unique needs of our diverse workforce._

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