Lead Data Engineer

Charlottesville
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer
Charlottesville, Virginia - remote working US based (East Coast preferred)
$150,000 to $170,000 depending on experience + Medical, Dental, Maternity Leave, Vision, Paternity, 401k

Excellent opportunity for a Lead Data Engineer with expertise in Microsoft Azure to join an established, successful, growing company in a highly varied and interesting role where they put a large emphasis on the welfare of their employees.

This is a financially strong and stable software company that is going from strength to strength as they grow and upscale, they can offer unique opportunities for their staff to develop and progress. They want to give people more than a job, they want to offer a purpose and a career where you can develop, upskill, train and progress. Through growth, they are looking to add Lead Data Engineer to be a hands-on technical expert and leader to their small but growing team.

In this role you will play a pivotal role in advancing the analytics capabilities within the company. This is a remote working role; however, you must be living in the USA and not require a visa to be employed. East Coast time zone is preferred.

The ideal candidate will be an experienced Data Engineer with strong Microsoft Azure expertise and leadership experience (either technical leadership, or hands on management).

This is a fantastic opportunity to join a financially strong and stable, growing organization in an exciting role where you will be treated well and given opportunities to progress and develop.

The role:
*Data platform leadership
*Data transformation design
*Data pipeline development
*Data storage solutions
*Performance tuning
*Mentoring and being a technical leader
*Documentation
*Remote working, US based

The person:
*Experienced Lead Data Engineer with strong Microsoft Azure expertise
*Data Modeling and Warehousing experience
*Experience of Pipeline Construction and Orchestration
*Deep knowledge of ETL and ELT, particularly using Azure Data Factory
*Leadership experience, either technical leadership or direct management
*Experience with the following is beneficial - Streaming data processing, Data processing patterns, SQL & Data manipulation, Analytical problem solving, Programming skills, CI/CD implementation, Databricks

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.