Despite being part of a large, multinational organization, you will work in a group that operates like small startup company. Our development teams are small, flexible and build highly scalable and secured solutions.
Alongside highly talented business consultants, you will work on client projects focusing on various analyses and implementation.
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.
Our office culture is casual, fun and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.
As a Data Engineer at QuantumBlack
You will apply your passion for finding opportunities in data by using tools and techniques to get insights from large complex data sets.
The impact of your work is normally realized in a very short span of study duration. You'll also focus on learning new technologies and you'll contribute to knowledge sharing, usually through blogs or conferences.
This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study.
You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Understanding, assessing and mapping the data landscape.
Maintaining our Information Security standards on the engagement.
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
Defining the technology stack to be provisioned by our infrastructure team.
Building modular pipeline to construct features and modelling tables.
Use new and creative techniques to deliver impact for our clients as well as internal R&D projects.
What you'll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end pipelines.
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries.
Real-World Impact- No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership- We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture- Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity- With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
We help companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualisation solutions to make better decisions.
Please submit your CV in English
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
Bachelor's degree in Computer Science, Engineering, Mathematics and Statistics or equivalent subject; Master's degree preferred
Solid foundations in Software Engineering, Agile e Cloud computing, alongside passion for finding meaning in disparate data sets.
Development background with experience in at least two scripting, object oriented or functional programming language: SQL, Python, Java, Scala, C#, R, Linux shell, etc.
Working experience with relational databases such as PostgreSQL MSSQL, Oracle, MySQL
Experience with data pipelines and ETL.
Ability to communicate data related findings clearly for audiences of all levels
Experience on Big Data platforms both for batch and streaming data processing like Spark, Hadoop (Hive / Impala / Sqoop)
Experienced with architecting and deploying machine learning solutions to production environment including but not limited to: ML Flow, Flask, Cloud ML or SageMaker
Knowledge of NoSQL databases like Cassandra, HBase, Redis, MongDB, DynamoDB is nice to have
Knowledge on message queueing, streaming and data flow products like Spark Streaming, Kafka, Kinesis, RabbitMQ, Storm, NiFi, Flink is nice to have
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data
5+ years of working experience, both in hands on and client facing roles
Distinct customer focus and quality mindset
Excellent interpersonal, leadership and communication skills
Ability to work both independently and in various team settings
Ability to work under pressure with a solid sense for setting priorities
Ability to manage own learning and contribute to domain knowledge building
Strong command of English language (both verbal and written)
Ability to travel