Data Engineering - Digital Futures - train as a data engineer

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“The 12-week programme with Digital Futures has been an incredible experience. Our technical lead, Ryan, has been so supportive from day one; questions are encouraged and there is plenty of hands-on practical and group work. The cohort members are all from a non-tech background, so you’re all really learning together”

Rawaz Kader, Digital Futures Engineer

Why choose data engineering?

As a data engineer, you will design, build and test data pipelines and infrastructure to collect, consolidate, clean and structure data. As a data engineer, you’ll sit at the forefront of an organisation’s data strategy and you’ll play a pivotal role in an organisation’s success by connecting all the pieces of a company’s data ecosystem.

Being a data engineer is a highly technical role and on the Digital Futures data engineering pathway you will learn the key data, software and cloud skills and technologies that will allow you to develop your career in data.

Unlock your future career

Design and implement data pipelines and troubleshoot and resolve any pipeline or infrastructure issues
Build and maintain ETL processes to ingest, transform and store data from various sources
Design and maintain data warehouses, data lakes, and other data storage solutions, ensuring that data is properly secured and follows industry best practices
Collaborate with data scientists and analysts to ensure that data is properly formatted and accessible

Course modules

Our immersive training develops the level of technical competency and interpersonal skills required to work as a data engineer within high-performing teams.

Extract-Transform-Load

Perform Extract, Transform, and Load (ETL) operations using industry-standard tools and techniques for integrating data from disparate sources into a unified and structured format.

Data Pipelines

Design efficient and effective data pipelines for automatically processing, transforming, and moving data between source systems and
target repositories.

Utilising the Cloud

Leverage the power of cloud by building scalable and cost-effective data pipelines, processing large volumes of data, and managing data storage and retrieval using various AWS services.

Data Modelling

Design and implement efficient data models that capture the structure, relationships, and constraints of complex data domains in a
clear and concise manner.

Big Data

Explore the world of Big Data including fundamental concepts, tools, and techniques for processing, analysing, and visualizing large and complex datasets.

Professional skills

Develop consulting skills aligned to delivery methodologies such as Agile and enhance your communication, presentation, collaboration and interview skills.

Certifications

All the training at Digital Futures is underpinned by industry-aligned certifications, ensuring all of our engineers are set up for success.

The 12-week immersive training Academy will take you through the PCAP – Certified Associate in Python Programming certification  as well as the AWS Cloud Practitioner exam.

The PCAP certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming. The AWS Cloud Practitioner certification ensures that you have the necessary cloud skills to provide readily available scalable infrastructure.

Master the latest technologies

Some of the key technologies and frameworks you will learn as a Digital Futures Data Engineer

A typical day at the Academy

We take a holistic approach to your development and provide a dynamic learning experience to ensure you reach your full potential

Morning

Afternoon

Morning

Afternoon

Meet your instructor

Ryan Pothecary
Cloud Engineering Lead Instructor

Ryan is the Cloud Engineering and Data Engineering Training Lead at Digital Futures, with responsibility for creating, developing and delivering our Cloud and Data Engineering pathways.

Ryan has been in the IT industry for over 30 years, during which he has held architect and consultant roles for a number of companies, including senior solution architect roles at Amazon Web Services (AWS), where he helped customers with their move to the cloud.

He is passionate about ensuring the IT industry better reflects society and believes that education leads to experience and opportunity.