At a Glance
- Tasks: Build scalable data solutions and maintain data pipelines for analytics and AI applications.
- Company: Prolific, a leader in human data infrastructure for AI development.
- Benefits: Competitive salary, remote work, and a mission-driven culture.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Join us at the forefront of AI innovation and make a real impact.
- Qualifications: 3+ years in data engineering, strong SQL and Python skills, and cloud-native experience.
The predicted salary is between 60750 - 74250 £ per year.
- Senior Data Engineer (6 Month Contract)
- Prolific
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development.
In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
We're looking for a Senior Data Engineer to help build scalable data solutions that serve teams across the business – from data scientists and analysts to AI engineers and product teams.
You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud native environment where privacy, security, and good data practices are part of how we build.
- What you’ll bring to the role
- Technical
Expertise: 3+ years building and shipping production grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.)
- Familiarity with cloud-native infrastructure - ideally some exposure to Terraform, Kubernetes, or similar Ia C and container orchestration tools.
We don't expect deep expertise in all of these, but comfort working in this kind of environment matters.
- Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary.
- A thoughtful approach to data quality, privacy, and security - you understand that how data is used is as important as how it's moved.
- Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product.
- A pragmatic, curious mindset - you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works.
- Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability.
- Quality Focus: Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews.
- Documentation: Meticulous approach to creating and maintaining architecture and systems documentation.
- Collaborative Mindset: Ability to work across teams to understand and address diverse data needs while maintaining data integrity.
- Growth Orientation: Desire to continually keep up with advancements in data engineering practices and technologies.
- Problem-Solving: Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions.
- Independence: Capability to ship medium features independently while contributing to the team's overall objectives.
- What you’ll be doing in the role
- Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications - from internal databases, Saa S sources, and streaming systems through to the teams and services that consume them.
- Evolve our data platform alongside cloud platform engineers, using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve.
- System Architecture: Design and implement scalable data infrastructure that accommodates our growing data volume and complexity.
- Develop data services and APIs that expose trusted data to product applications, bridging analytical and operational systems.
- Own data quality and observability, putting monitoring, testing, and alerting in place so issues are caught early and trust in the data stays high.
- Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs and design the right solutions – not just the quickest ones.
- Uphold strong data privacy, security, and compliance practices in everything you build, particularly where data flows into product-facing contexts.
- Technical Documentation: Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing.
- Security and Compliance: Ensure all data systems adhere to security best practices and compliance requirements.
- Why Prolific is a great place to work
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback.
This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development.
By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.
Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research.
Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
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Senior Data Engineer (6 Month Contract) employer: Embedded Shishya
Grafana Labs is an exceptional employer, offering a fully remote work environment that fosters collaboration among a diverse global team. With a strong emphasis on innovation and developer productivity, employees benefit from modern tools and a culture that values autonomy and career growth. The company prioritises work-life balance with generous leave policies and a commitment to transparency and inclusivity, making it a rewarding place for passionate individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (6 Month Contract)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Embedded Shishya before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Embedded Shishya.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Embedded Shishya.
We think you need these skills to ace Senior Data Engineer (6 Month Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Embedded Shishya, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Embedded Shishya, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Embedded Shishya’s attention and show the tangible impact of your work.
How to prepare for a job interview at Embedded Shishya
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Embedded Shishya.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Embedded Shishya.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Embedded Shishya.
