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For Companies At a Glance
- Tasks: Build and maintain data pipelines for AI and analytics in a remote role.
- Company: Join a leading consulting firm with a focus on innovative data solutions.
- Benefits: Flexible hours, competitive pay, and the chance to work remotely from anywhere in the US or Canada.
- Why this job: Make an impact by optimising data systems and enabling smarter decision-making.
- Qualifications: Experience with Salesforce FSC, Python, and data migration is essential.
- Other info: Great opportunity for career growth in a dynamic, tech-driven environment.
The predicted salary is between 13 - 16 £ per hour.
We are hiring a Salesforce Data Engineer for one of our Consulting clients. This is a remote role (can be based out of the US / Canada) working on EST. Initially, the contract would be 20 hours/week for 3-5 months. Candidates must have experience with Salesforce FSC data models, Python, and experience doing data migration for Salesforce projects.
Overview
The Data Engineer builds and maintains the systems that power AI, analytics, and data-driven decision making. This role focuses on creating and orchestrating efficient data pipelines, organizing data for scale, and ensuring data is clean, secure, and ready for use across the business. The engineer enables clients to unlock insights, optimize performance, reduce waste, and move with confidence. The work supports BI, Operations, System Integrations, and AI practices by ensuring high-quality data is consistently available.
Primary Responsibilities
- Design, build, and maintain data pipelines that support efficient collection, ingestion, storage, and processing.
- Implement modern data architectures such as data lakes, data warehouses, lakehouses, and data mesh platforms.
- Develop streaming data flows for near real-time and low latency use cases.
- Clean and prepare data to support analytics, reporting, and AI model readiness.
- Improve performance and reliability across data systems.
- Apply data governance and security best practices to safeguard customer information.
- Partner with technical and business teams to understand requirements and deliver effective solutions.
- Identify opportunities to streamline operations and reduce cost through smarter data design.
- Monitor and resolve issues to maintain dependable, resilient data operations.
Required Qualifications
- Experience building and maintaining data pipelines, and ETL/ELT scalable frameworks.
- Strong foundation in relational and non-relational data systems.
- Strong data modeling skills.
- Working knowledge of data lake, data warehouse, and lakehouse patterns.
- Hands-on experience with both batch and streaming data pipelines.
- Proficiency in SQL, Python, and modern data engineering tools and libraries, such as Pandas.
- Ability to design structured, scalable solutions for analytics and AI preparation.
- Familiarity with cloud platforms and distributed processing frameworks.
- Clear, concise communication skills.
Preferred Qualifications
- Experience with Databricks, Snowflake, Microsoft Synapse, Fabric, AWS Glue, DMS, or similar data platforms and technologies.
- Experience with Open Data platforms and tools, such as Apache Spark, Airflow, Delta Lake, or Iceberg.
- Background supporting Data migrations, API integrations, and Machine Learning or AI data requirements.
- Understanding of data governance, lineage, and secure data practices.
- Exposure to a data product mindset and domain-oriented or data mesh approaches.
Reach out to learn more!
Salesforce Data Engineer - FSC in London employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Salesforce Data Engineer - FSC in London
✨Tip Number 1
Network like a pro! Connect with folks in the industry on LinkedIn, join relevant groups, and don’t be shy to reach out for informational chats. 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 pipelines, projects, or any relevant work you've done. This gives potential employers a tangible look at what you can do, especially with Salesforce FSC data models and Python.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data architectures or solving data migration challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Salesforce Data Engineer - FSC in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Salesforce Data Engineer role. Highlight your experience with Salesforce FSC data models, Python, and any relevant data migration projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of data pipelines you've built or maintained. If you've worked with data lakes or warehouses, let us know! We love seeing real-world applications of your skills, so don’t hold back on the details.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—just like the data pipelines you’ll be working on!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Stott and May
✨Know Your Data Models
Make sure you brush up on Salesforce FSC data models before the interview. Being able to discuss how you've worked with these models in past projects will show your expertise and make you stand out.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, especially with libraries like Pandas. You might be asked to solve a problem or explain how you've used Python in data migration tasks, so have some examples ready.
✨Understand Data Pipelines
Be ready to talk about your experience building and maintaining data pipelines. Discuss specific frameworks you've used for ETL/ELT processes and how you've ensured data quality and reliability in your previous roles.
✨Communicate Clearly
Since this role involves partnering with technical and business teams, practice explaining complex data concepts in simple terms. Clear communication is key, so think of ways to convey your ideas effectively during the interview.
