Snowflake Engineer (Outside IR35)

LA International

1 month ago

Applications closed

Related Jobs

View all jobs

Data Engineer (Snowflake)

Snowflake & AWS Data Engineer

Contract Snowflake Data Engineer

Senior Data Engineer

Junior and Mid-Level Data Scientists |Financial| Guildford Area

Data Engineer - London

Our Telecoms client is looking for an experienced Snowflake Engineer to join their team in Milton Keynes. This is a 3 months contract initially and it is outside IR35.

Hybrid model - 2 days per week on site in Milton Keynes and the rest of the week remote.

Overview:

The role is responsible for designing business processes as per customer needs, strategizing cloud architecture and migration, and upholding client's winning values and contributing to the company's vision.

Requirements:

Collaborate with clients and stakeholders to gather and understand technical and business requirements.
Assess various technologies and tools to recommend the most suitable solutions for different projects.
Assess Data warehouse implementation procedures to ensure they comply with internal and external regulations.
Prepare accurate Data warehouse design reports for management.
Oversee the migration of data from legacy systems to new solutions.
Monitor the system performance by performing regular tests, troubleshooting and integrating new features.
Understand and document data flows in and between different systems/applications
Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns.
Implement cloud-based Enterprise data warehouse solutions with multiple data platforms along with Snowflake environment to build data movement strategy.
Collaborate with project managers and developers to guide development processes in line with solution requirements.
Offer support by responding to system problems in a timely manner.

Experience

Proven experience as a Data Engineer with expertise in designing and implementing data solutions on Snowflake.
In-depth knowledge of Snowflake's features (ELT using Snowpipe, implementing stored procedures and setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel), functionalities and understand how to use these features.
Understanding of data security, encryption, access controls ( RBAC, authentication & authorization), and compliance standards (GDPR, HIPAA, etc.).
Proficiency in SQL, scripting languages (e.g., Python, Bash) and experience optimizing queries for performance.
Experience with cloud technologies (AWS, Azure, or GCP) and integration tools.
Experience in Data Migration from various sources to Snowflake cloud data warehouse
Experience working with code repositories, continuous integration & continuous deployment.
Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Relevant certifications or qualifications in Snowflake or related fields are a plus.
Experience in Telecom and Fibre domain will be advantage

Roles & Responsibilities:

Business Process Design: Designing one or more business processes as per customer needs
Requirement Management: Creating High-level and Low-level design documents in collaboration with senior architects for COTS solution
Product Analysis: Performing functionality analysis, designing solutions around customizations, and identifying interfaces and integration considerations
Cloud data platform setup - design data lake and data platforms on products like Snowflake

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

Industry Insights

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

Mar 12, 2025

Careers Jobs

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.

Mar 9, 2025

Careers

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.

Mar 8, 2025

Jobs

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.