Lead Data Engineer Milano

Lead Data Engineer
Milano
Lombardia, Milano

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WHO YOU'LL WORK WITH

As a member of Bain's Advanced Analytics Group (AAG) you'll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHERE YOU'LL FIT WITHIN THE TEAM

As a Lead, Data Engineering you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated data engineering solutions and infrastructure at a production scale suitable for the world's largest companies.

WHAT YOU'LL DO:

Develop data and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data engineer and expert within a cross-functional team

Develop and maintain long-lasting products that support internal or client needs

Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions

Collaborate with data engineering leaders to develop and advocate for modern data engineering concepts to both technical audiences and business stakeholders

Enable data and technology for data science, analytics, and other application use cases via data engineering

Transformations at scale including cleaning, enriching, de-duping, joining and correlated on structured, semi-structured or unstructured data

Defining and implementing new and innovative deployment techniques, tooling, and infrastructure automation within Bain the full software development life cycle including designing, writing documentation and unit/integration tests, and conducting code reviews for data engineering solutions

Participate in infrastructure engineering for data ecosystem including development, testing, deployment and release

Provide technical guidance to external clients and internal stakeholders in Bain

Contribute to industry-leading innovations that translate into great impact for clients in case work

Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform

Travel is required (30%)

ABOUT YOU:

Proven experience in end to end data and software engineering within either/or product engineering or professional services organizations; including project setup, test cases, dependency, and build management

Master's degree in Computer Science, Engineering, or a related technical field

5 years minimum experience

** 3+ years at Senior or Staff level, or equivalent

Technical Skills and Knowledge:

Working knowledge of (3+ years) Python, Scala, C/C++, Java, C#, Go, or similar programming language

Experience in deploying serverless data pipelines through containerization and terraform orchestration

Experience in data ingestion using one or more modern ETL compute and orchestration frameworks (Airflow, Beam, Luigy, Spark, Nifi or any other)

Experience (3+ years) of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake

Experience with Cloud platforms and services (AWS, Azure, GCP, etc. ) or Kubernetes via Terraform automation, and associated deep understanding of failover, high-availability, and high scalability

Experience with DevOps, CI/CD, Github Actions, version control and git workflows

Experience scaling and optimizing schema and performance turning SQL and ETL pipelines in data lake and data warehouse environments

Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance

Experience working according to agile principles

Interpersonal Skills:

Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines

Curiosity, proactivity and critical thinking

Ability to collaborate with people at all levels and with multi-office/region teams

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