Principal Data Engineer - QuantumBlack, AI by McKinsey

Who You'll Work With

You will be based in our KSA or UAE office as part of our QuantumBlack, AI by
McKinsey team, partnering with consultants, clients, and other colleagues.
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques
plus a deep understanding of industry dynamics and corporate functions to help
clients create the most value from data. You'll typically work on projects
across all industries and functions and will be fully integrated with the rest
of our global firm.
You'll also work with colleagues from across McKinsey & Company to help our
clients deliver breakthrough products, experiences, and businesses, both on
technology and non-technology topics. When you join McKinsey, you are joining
a firm whose culture is distinctive and inclusive. We will accelerate your
development as a leader to create positive, enduring change in the world.

What You'll Do

You will typically lead a team of ‎3 - ‎5 consultants to help clients achieve
new performance highs.
In this role, you will lead the day-to-day execution of a client project while
guiding and developing individual team members. You'll work directly with
clients - usually on-site - and you'll take ownership of the overall project
and its end products. You will make an important contribution to the analysis,
design, and implementation of business performance approaches, developing
tailor-made solutions, and working closely with clients to ensure positive
impact and sustainable results.
You will collaborate with consultants, data engineers, and data-scientist to
design and drive architecture and implementation planning for our clients and
act as a big data evangelist, educating McKinsey's and client's teams on data
engineering topics. Your client project work typically includes gathering and
analyzing information, formulating and testing hypotheses, and developing
recommendations for presentation to client management. From there, you will
implement those recommendations with client team members.
Together with your team, you will focus on the development of advanced
analytics models to optimize underlying business problems. You will apply
state-of-the-art advanced analytics, quantitative tools and modeling
techniques to interpret, make inferences and offer recommendations based on
insights from the data. You will shape the future of what data-driven
organizations look like, drive processes for extracting and using that data in
creative ways and create new lines of thinking within an infinite number of
clients and situations.
You will create valuable, transformative business strategies through the
measurement, manipulation, reporting and dissemination of broad sets of data.
You will apply and advise on state-of-the-art advanced analytic and
quantitative tools and modeling techniques in order to derive business
insights, solve complex business problems and improve decisions.
You will also gain new skills and build on the strengths you bring to the
firm. You will receive exceptional training as well as frequent coaching and
mentoring from colleagues and senior leaders on your teams.

Qualifications

• ‎5+ years of proven experience in leading data engineering teams, designing and executing solutions for challenging business situations; demonstrated leadership ability in a team environment


• ‎8+ years of professional experience in data engineering and solid function knowledge including, but not limited to data engineering, data science, advanced analytics, machine learning, digital/IT strategy consulting


• ‎7+ years of experience in big data-related software development and in programming (focus on machine learning and data engineering) in Python


• Advanced knowledge of data structures and algorithms, networking, operating systems and foundational experience standard unix/linux operating systems, version control and DevSecOps tool chains, etc.


• Familiar with big data platforms like SQL, Teradata, Hadoop, Spark, experience preparing data for analytics and following a data science workflow


• Ability to work with a myriad of data types (i.e. structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets


• Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)


• Bachelor's degree in computer science, engineering, mathematics, or another relevant subject with a consistent outstanding academic record; an advanced degree or MBA is preferred


• Deep expertise in industries such as financial services, high-tech, telecommunications, energy, retail, metals and mining


• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization


• Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus