At a Glance
- Tasks: Model data, assess infrastructure, and design data pipelines for impactful analytics.
- Company: Join Spaulding Ridge, a leading advisory and IT implementation firm in London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Work with cutting-edge data technologies and help global clients achieve financial clarity.
- Qualifications: Experience in data modelling, SQL proficiency, and programming skills, preferably in Python.
The predicted salary is between 60000 - 80000 £ per year.
Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management.
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.
The role
- 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 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.
You have
- 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.
Commitment to an Inclusive Workplace
We believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We create a culture of trust and belonging, through practices and policies that support inclusion, and through our employee‐led Employee Resource Groups (ERGs): CRE, Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you need accommodation or special assistance to navigate our website or to complete your application, please contact 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 in London employer: Spaulding Ridge
Spaulding Ridge is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Senior OneStream Solution Architect role. With a strong focus on employee growth and development, team members are encouraged to enhance their skills through continuous learning opportunities while working on impactful projects across the EMEA region. The company also offers competitive benefits and a supportive environment that values work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in 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 brushing up on technical concepts and practising common questions. Don’t forget to highlight your experience with cloud services and data modelling – that’s what they’re looking for!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team at Spaulding Ridge.
We think you need these skills to ace Data Engineer in 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! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to our work.
Showcase Your Technical Skills:Don’t forget to showcase 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 through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Good luck!
How to prepare for a job interview at Spaulding Ridge
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like Snowflake, dbt, and Workato. Be ready to discuss how you've used these technologies in past projects or how you would approach using them in this role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've assessed data infrastructure and proposed creative solutions. Think about specific challenges you've faced and how you tackled them, as this will demonstrate your analytical thinking and adaptability.
✨Practice Technical Presentations
Since delivering technical presentations is part of the role, practice explaining complex concepts clearly and concisely. You might even want to do a mock presentation to a friend or colleague to get comfortable with your delivery.
✨Emphasise Continuous Learning
Highlight your self-motivation to learn new tools and technologies. Mention any relevant certifications you have or are pursuing, like the SnowPro Core or Google Cloud Professional Data Engineer, to show your commitment to staying current in the field.
