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- 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 options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on 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 50000 - 70000 £ 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 New London employer: Spaulding Ridge LLC
Contact Detail:
Spaulding Ridge LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer New London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer New London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data modelling, SQL, and any relevant tools like Snowflake or dbt. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Mention specific projects or experiences that relate to the responsibilities in the job description.
Show Off Your Technical Skills: Don’t hold back on showcasing your technical skills! Include any programming languages you know, especially Python, and your experience with cloud services. We love seeing candidates who are up-to-date with the latest technologies.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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, BigQuery, and dbt. Familiarise yourself with their functionalities and how they fit into the Modern Data Stack. This will not only help you answer technical questions but also show your genuine interest in the role.
✨Prepare for Technical Presentations
Since delivering technical presentations is part of the job, practice explaining complex data concepts clearly and concisely. You might be asked to present a past project or a hypothetical scenario, so have a few examples ready that showcase your skills and thought process.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've assessed data infrastructures and proposed solutions in previous roles. Think of specific challenges you faced and how you creatively tackled them. This will demonstrate your analytical thinking and ability to add value to clients.
✨Stay Updated on Industry Trends
The data landscape is always evolving, so show that you’re proactive about learning new tools and features. Mention any recent developments in data technologies that excite you, and how you plan to leverage them in your work. This will highlight your self-motivation and commitment to growth.