director data engineering.

As the leading global talent solutions provider, Randstad Enterprise enables companies to create sustainable business value and agility by keeping people at the heart of their organizations. Part of Randstad N.V., we combine unmatched talent data and market insights with smart technologies and deep people expertise. Our integrated talent solutions - delivered by Randstad Advisory, Randstad Sourceright and Randstad RiseSmart - help companies build skilled and agile workforces that move their businesses forward.

Randstad Enterprise supports some of the world's most renowned brands to build their talent acquisition and management models that not only meet their business needs today but also in the future. We offer solutions in Europe, Middle East and Africa (EMEA) region, Asia Pacific (APAC) region as well as in North America (NAM) region. This results in a digital way of working and requires a proactive mind-set.

• Our solutions know no limits, we have proven experience delivering market-leading MSP, RPO, Total Talent, and Services Procurement Solutions including technology, talent marketing, talent intelligence, and workforce consulting services.
• We create the best talent experience, from attraction to onboarding and onto ongoing career development, we understand the human and digital touchpoints that compel talent to join and stay with a company.
• We know where the talent of tomorrow is, how they behave, what they are looking for, and how to build their loyalty toward a specific company employer brand.
• We push the boundaries of our industry to be able to see around the corner for our clients, continually investing in innovation to stay ahead in our market. ...

About the Job

The Director Data Engineering will lead the development and implementation of a comprehensive data strategy that aligns with the organization's business goals and enables data driven decision making.

Roles and Responsibilities

• Build and manage a team of talented data managers and engineers with the ability to not only keep up with, but also pioneer, in this space
• Collaborate with and influence leadership to directly impact company strategy and direction
• Develop new techniques and data pipelines that will enable various insights for internal and external customers
• Develop deep partnerships with client implementation teams, engineering and product teams to deliver on major cross-functional measurements and testing
• Communicate effectively to all levels of the organization, including executives
• Provide success in partnering teams with dramatically varying backgrounds, from the highly technical to the highly creative
• Design a data engineering roadmap and execute the vision behind it
• Hire, lead, and mentor a world-class data team
• Partner with other business areas to co-author and co-drive strategies on our shared roadmap
• Oversee the movement of large amounts of data into our data lake
• Establish a customer-centric approach and synthesize customer needs
• Own end-to-end pipelines and destinations for the transfer and storage of all data
• Manage 3rd-party resources and critical data integration vendors
• Promote a culture that drives autonomy, responsibility, perfection and mastery.
• Maintain and optimize software and cloud expenses to meet financial goals of the company
• Provide technical leadership to the team in design and architecture of data products and drive change across process, practices, and technology within the organization
• Work with engineering managers and functional leads to set directio n and ambitious goals for the Engineering department
• Ensure data quality, security, and accessibility across the organization

Skills You Will Need

• 10+ years of experience in data engineering
• 5+ years of experience leading data teams of 30+ resources or more, including selection of talent planning / allocating resources across multiple geographies and functions.
• 5+ years of experience with GCP tools and technologies, specifically, Google BigQuery, Google cloud composer, Dataflow, Dataform, etc.
• Experience creating large-scale data engineering pipelines, data-based decision-making and quantitative analysis tools and software
• Experience with hands-on to code version control systems (git)
• Experience with CICD, data architectures, pipelines, quality, and code management
• Experience with complex, high volume, multi-dimensional data, based on unstructured, structured, and streaming datasets
• Experience with SQL and NoSQL databases
• Experience creating, testing, and supporting production software and systems
• Proven track record of identifying and resolving performance bottlenecks for production systems
• Experience designing and developing data lake, data warehouse, ETL and task orchestrating systems
• Strong leadership, communication, time management and interpersonal skills
• Proven architectural skills in data engineering
• Experience leading teams developing production-grade data pipelines on large datasets
• Experience designing a large data lake and lake house experience, managing data flows that integrate information from various sources into a common pool implementing data pipelines based on the ETL model
• Experience with common data languages (e.g. Python, Scala) and data warehouses (e.g. Redshift, BigQuery, Snowflake, Databricks)
• Extensive experience on cloud tools and technologies - GCP preferred
• Experience managing real-time data pipelines
• Successful track record and demonstrated thought-leadership and cross-functional influence and partnership within an agile / water-fall development environment.
• Experience in regulated industries or with compliance frameworks (e.g., SOC 2, ISO 27001).

Nice to have:

• HR services industry experience
• Experience in data science, including predictive modeling
• Experience leading teams across multiple geographies