Azure Data Engineer

TRIA
1 week ago
Create job alert

This range is provided by TRIA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Lead Consultant - Higher Education at TRIA

Data Engineer - Azure Data Factory - Remote contract for initial 3 months

Outside IR35 with rate of £375 - 425 available.

We are looking for a strong Data Engineer with Azure (Including ADF, Azure Data Factory) experience. A large part of the role will be to deliver the Data Pipeline Development and subsequent Performance Tuning.

We are looking for skills in the following areas:

  1. Azure including Azure Data Factory and Azure SQL Database
  2. ETL (Extract, Transform, Load)
  3. Knowledge of SQL and C#
  4. Experience with Data warehousing concepts and practices

This is a fully remote role with interviews being booked for later this week. Please share your CV if you have the required skills.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology and Marketing

Industries

IT Services and IT Consulting, Technology, Information and Media, and IT System Data Services

#J-18808-Ljbffr

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer - Insurance Firm – London – hybrid working

Azure Data Engineer - ADF, Snowflake - £425pd inside IR35

Azure Data Engineer

Azure Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.