At a Glance
- Tasks: Join our Data Solutions team to model data and create innovative analytics solutions.
- Company: Dynamic consulting firm with a focus on modern data technologies.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to continuous learning and development.
- Why this job: Make an impact by helping clients leverage cutting-edge data tools and technologies.
- Qualifications: Experience in data modelling, SQL, and familiarity with cloud services required.
The predicted salary is between 55000 - 65000 € per year.
We are looking for a Data Engineer to join our excellent Data Solutions team in London. We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools. Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.
Responsibilities
- Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
- Assess clients’ data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
- Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
- Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
- Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
- Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
- Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
- Participate in pre‑sales conversations with prospective clients to define the scope and estimate the work for the project.
- Stay up‑to‑date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
- Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
- Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.
Qualifications
- Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
- Programming experience, ideally in Python, but other languages considered.
- Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
- Experience with Git, CI/CD, and Infrastructure as Code (like Terraform).
- Knowledge of any BI tool such as Omni, Sigma, Looker, PowerBI, etc.
- Self‑motivation to study, discover new products and technologies in the data landscape.
- Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
- Experience in delivering technical presentations.
EEO Statement
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case‑by‑case basis. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Data Engineer London employer: Spaulding Ridge LLC
At Spaulding Ridge, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Data Solutions team in London. Our commitment to employee growth is evident through continuous training opportunities in cutting-edge technologies, alongside a diverse client base that includes both exciting scale-ups and renowned enterprises. Join us to be part of a supportive environment where your contributions are valued, and you can make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using tools like dbt or Snowflake. This gives you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and programming skills. Practice common data engineering problems and be ready to discuss your thought process. We want to see how you tackle challenges!
✨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 awesome team.
We think you need these skills to ace Data Engineer London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with data modelling, SQL, and any relevant tools like Snowflake or dbt. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our needs. Be sure to mention any specific projects or achievements that showcase your expertise.
Show Off Your Technical Skills:Don’t hold back on showcasing your technical skills in your application. Mention your programming experience, familiarity with cloud services, and any certifications you have. We love seeing candidates who are proactive about their learning!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Spaulding Ridge LLC
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake, dbt, and Workato. Familiarise yourself with their functionalities and be ready to discuss how you've used them in past projects or how you would approach using them for clients.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've assessed data infrastructures and proposed creative solutions. Think about specific challenges you've faced and how you tackled them, as this will demonstrate your analytical thinking and ability to deliver results.
✨Practice Technical Presentations
Since delivering technical presentations is part of the role, practice explaining complex concepts in a simple way. You might even want to do a mock presentation to a friend or colleague to get comfortable with your delivery and receive feedback.
✨Stay Current with Industry Trends
Keep up-to-date with the latest developments in data engineering and analytics. Being able to discuss recent trends or new features in the tools you’ll be using shows your passion for the field and your commitment to continuous learning.
