At a Glance
- Tasks: Automate manual processes and transform data workflows using SQL, Python, and AI.
- Company: Mission-driven legal-tech scale-up focused on innovative solutions.
- Benefits: Flexible remote work, competitive pay, and opportunity to shape future data functions.
- Other info: Join us for a 3-month contract with potential for lasting influence.
- Why this job: Make a real impact by revolutionising how data flows in a dynamic environment.
- Qualifications: 3-5 years in data automation, strong problem-solving skills, and ability to communicate with non-techies.
The predicted salary is between 40000 - 50000 £ per year.
Role: Data Automation Specialist (Systems Transformation)
Location: Remote / London
Duration: 3-month initial contract
The Opportunity: From Manual Maintenance to Automated Excellence
Are you a data expert who loves the challenge of taking manual, repetitive processes and "automating them out of existence"? We are a pioneering, mission-driven legal-tech scale-up on a mission to transform how families navigate life’s biggest transitions. We don’t just want to "fill a gap"; we want to use a natural transition in our team to completely rethink how our sales data flows. We are looking for a technical architect and automation specialist to step in, audit our current analyst workflows, and build a robust, AI-enhanced system that allows our data function to scale.
The Mission
- Audit & Strategy: Quickly get under the hood of our current manual tasks, from weekly KPI reporting to partner referral entries. Decide what to automate, what to simplify, and what to remove entirely.
- Systems Transformation: Build the bridges using SQL, Python, and APIs to connect our ecosystem (HubSpot, Airtable, NocoDB) and create sophisticated workflows via Zapier or HubSpot.
- AI Integration: Master tools and leverage AI to work faster and build smarter solutions.
- Interim Ownership: Ensure our sales data remains accurate and usable across the business while building the future.
The Legacy: By the end of this 3-month engagement, you will provide documented, tested automations and a clear recommendation for what our permanent data function should look like in the future.
The Stack
We care more about your ability to solve problems than a specific list of tools, but you’ll be most successful if you are proficient in:
- CRM: HubSpot (Essential).
- Development: SQL and Python for data extraction and automation pipelines.
- Automation: Zapier, HubSpot Workflows, and API integrations.
- Data Storage: Airtable and NocoDB.
- Bonus Points: Experience with Power BI and a flair for commercial analysis.
About You
- Technically Fearless: 3–5 years of experience in data automation and aren’t afraid to dig into "clunky" setups to find the elegant solution.
- A
Data Engineer in Slough employer: Practicus
Join our innovative legal-tech scale-up, where we prioritise a collaborative and dynamic work culture that empowers employees to drive meaningful change. With a focus on automation and AI integration, we offer flexible remote working arrangements and opportunities for professional growth, ensuring you can thrive while making a significant impact on how families navigate life's transitions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨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 Practicus 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 Practicus.
✨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 Practicus.
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Practicus, 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 Practicus, 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 Practicus’s attention and show the tangible impact of your work.
How to prepare for a job interview at Practicus
✨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 Practicus.
✨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 Practicus.
✨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 Practicus.
