SQLBits 2022

So you want to be a Data Engineer?

An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.

Being Data Engineers, we think it’s a cool profession to work in. It's also becoming one of the most in-demand skill-sets across industries and sectors.
In this Session - Anna, Mikey and Ust will introduce you to the role of a Data Engineer; some of the technologies and tools used within the discipline; before guiding you to resources that will help you learn the basics and further develop your expertise.
We’ll share parts of our own journeys to becoming Data Engineers, and how you can use your existing experience to transition from careers such as being a DBA, Software Engineering or just having a passion for data and problem solving.

Feedback link: https://sqlb.it/?7129

Anna-Maria Wykes's other proposed sessions for 2026

MCP Unleashed From “Huh?” to “Heck Yeah!” Building Smarter AI Knowledge Bases - 2026

Migrating the Mammoth - 2026

What we Learned Migrating a Financial Giant from Hudi to Delta (and Why Iceberg was in the Mix) - 2026

From “Who Wrote This ETL?” to Databricks, Claude Saves the Day via Microsoft Foundry - 2026

Getting Started with Claude in Microsoft Foundry - 2026

Anna-Maria Wykes's previous sessions

How to Run Code Clubs for Neurodiverse Children

Code Clubs offer an amazing opportunity to introduce our next generation to coding, with simple brightly colored drag-and-drop tooling to get them started, we are successfully inspiring many to join the tech industry. In this session I want to talk you through my journey setting up a Code Club for neurodiverse children, what I found worked, and what doesn’t. I hope that from this session you will be inspired to follow the same path I have, using your amazing tech experience to empower some of the most vulnerable children, enabling them to become inspired not just by coding, but the tech industry itself.

Introduction to the wonders of Azure DevOps

Azure DevOps is the leading deployment tool for build and release solutions end to end. It helps you plan your Agile project, manages Git code, and deploys solutions using Continuous Integration (CI) and Continuous Deployment (CD) pipelines. In this session we will cover some of the core components of Azure DevOps and show you how to implement a secure deployment pipeline, using unit tests and gating with your CI builds and CD releases.

Automate the deployment of Databricks components using Terraform

Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.

So you want to be a Data Engineer?

An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.

Scala for Big Data the Big Picture

An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples

Michael Robson's other proposed sessions for 2026

SQLServer 2005: The Release That Changed Everything - A Nostalgic Look Back - 2026

Michael Robson's previous sessions

So you want to be a Data Engineer?

An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.

Ust Oldfield's previous sessions

Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches

In the realm of data management and analytics, choosing the right data modelling approach can be a daunting challenge. Some have a preferred path, while others are navigating uncharted territory. "Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches" is your ticket to exploring this diverse landscape. Join us as we embark on an adventure through various methodologies, from Dimensional to Data Vault and beyond. Gain a deep understanding of their unique strengths and when to deploy them for optimal results. Whether you're a seasoned data pro or a curious enthusiast, this session is your key to demystifying data modelling. Discover the perfect approach for your next data-driven endeavour in this exhilarating showdown!

Implementing a Data Quality Framework in Purview

Building a Data Quality implementation in Purview using the Glossary and Databricks

So you want to be a Data Engineer?

An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.

Tabular Automation With TMSL and PowerShell

This session will explore the Tabular Model Scripting Language (TMSL); how TMSL can be used with PowerShell to automate the creation and deployment of an Analysis Services Tabular Model.

A Deep Dive Into Data Lakes

Learn the ins and outs of Azure Data Lake in this deep dive