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For Companies At a Glance
- Tasks: Design and implement cutting-edge data solutions using Snowflake for diverse clients.
- Company: Join Slalom, a purpose-led consulting firm recognised as a top workplace.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact with innovative data solutions in a dynamic environment.
- Qualifications: 6-8 years of data engineering experience, strong SQL and Python skills required.
- Other info: Be part of a supportive team with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Slalom is a purpose‑led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 45 markets, we deeply understand our customers—and their customers—to deliver practical, end‑to‑end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all.
Location & Work Mode: London or Manchester – Hybrid
Slalom is seeking an experienced Snowflake Data Engineer to contribute to its growing Data & Analytics practice. The ideal candidate is a professional with experience in designing, developing, validating and communicating enterprise data solutions using Snowflake/AWS/Azure. Deep experience in developing enterprise data management strategies including data lake/warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery.
What will you do?
- Design and implement “best‑in‑class” modern data solutions for our clients.
- Analyse, recommend and select technical approaches for solving challenging development and integration problems for clients.
- Explore emerging technology vendors/features and recommend/advise clients on solution options.
Requirements
- At least 6–8 years’ experience as a data engineer and 3+ years of hands‑on experience in Snowflake.
- In‑depth understanding of Snowflake data platform capabilities and features.
- Strong experience in building enterprise‑grade data pipelines on Snowflake; experience in various data ingestion and transformation patterns including real‑time processing, CDC, and API ingestion.
- Experience in delivering greenfield projects including infrastructure/environment setup on Snowflake.
- Strong data engineering experience delivering end‑to‑end projects on cloud AWS/Azure.
- Strong SQL and Python skills.
- Experience in modern data stack tools like DBT, Airflow/Dagster, etc.
- Experience in CI/CD tooling.
- Experience in data architecture concepts such as dimensional modelling, data vault, data mesh.
- Good understanding of data management and governance concepts such as data quality, metadata management.
- Knowledge of data science and visualisation.
- Must have Snowflake SnowPro Core Certification.
If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.
Snowflake Data Engineer | Senior Consultant in Manchester employer: Slalom
Contact Detail:
Slalom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer | Senior Consultant in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Slalom or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions related to Snowflake and data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on any relevant data solutions or have personal projects, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Slalom.
We think you need these skills to ace Snowflake Data Engineer | Senior Consultant in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Snowflake Data Engineer role. Highlight your experience with Snowflake, AWS, and Azure, and don’t forget to showcase those SQL and Python skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your experience can help us deliver best-in-class solutions. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or implementing data management strategies, we want to know what you've done and how it relates to the role. Concrete examples will make your application stand out.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Slalom
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its features, capabilities, and how it integrates with AWS and Azure. Be ready to discuss your hands-on experience and any specific projects you've worked on that showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenging development and integration problems you've faced in the past. Think of specific examples where you analysed, recommended, and implemented solutions. This will demonstrate your ability to think critically and provide value to clients.
✨Familiarise Yourself with Modern Data Tools
Since the role involves using tools like DBT and Airflow, make sure you can talk about your experience with these technologies. If you’ve delivered greenfield projects or set up infrastructure on Snowflake, highlight those experiences to show your capability in building enterprise-grade data pipelines.
✨Understand Data Governance Concepts
Be prepared to discuss data management and governance concepts such as data quality and metadata management. This knowledge is crucial for a Snowflake Data Engineer, so having examples of how you've applied these principles in your work will set you apart from other candidates.
