Data Engineer

Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Paragraf

At a Glance

  • Tasks: Join us as a Data Engineer to shape our data systems and support innovative graphene electronics.
  • Company: Paragraf is pioneering graphene technology, transforming electronics with high-purity products since 2017.
  • Benefits: Enjoy flexible working, private health insurance, generous holiday, and a supportive development environment.
  • Other info: Opportunity for personal growth, mentoring junior staff, and working on exciting projects across various teams.
  • Why this job: Be part of a groundbreaking team, influencing critical decisions in a fast-paced, collaborative culture.
  • Qualifications: Degree in computer/data science or equivalent experience; 5+ years in Data Engineering with strong coding skills.

The predicted salary is between 36000 - 60000 £ per year.

Paragraf’s patented contamination-free deposition technology delivers game-changing opportunities for the commercialisation of graphene by allowing us to manufacture high-purity 2D graphene sheets at scale.

Paragraf is the first company in the world to mass produce graphene-based electronic devices using standard semiconductor processes. We not only specialise in the manufacture of high-purity graphene but also its seamless integration into ready to use products that can be quickly adopted by our customers and partners to support the advancement of their technologies.

At Paragraf we are committed to materially transforming electronics through the development of high-purity graphene products that will facilitate massive improvements in the performance of technologies across all aspects of life.

Founded as a spin out from Cambridge University in 2017 with the aim of transferring the technology from the academic lab into a commercial entity. Since then, we have grown from one site in Somersham, Cambridgeshire and an additional production facility in Huntingdon as well as sales teams globally promoting Paragraf.

The Role

This role focusses on Paragraf’s Data Systems, which support its electronic device production and internal tool development. This is a critical and influential role with project leadership in understanding of Data Engineering (SQL), Data Architecture, Stored procedures, alongside good coding skills and practices, with Python being key to success along with an open and flexible approach. An opportunity to use your experience and knowledge to influence critical decisions and deliver accordingly - this isn’t your ‘run of the mill’ data role, as a broader engineering hat is required and a willingness to adapt.

Responsibilities & Tasks

  • Co-ordinate and support the future data needs (Acquisition, Storage and Insights) of the company, allowing the Paragraf Data Team to grow organically.
  • Contribute to the development of internal software which supports our Graphene electronics products and associated tooling.
  • Take a proactive approach to CI/CD and Testing, ensuring best practice and longevity is at its core and provide professional documentation and frameworks.
  • Build predominantly internal solutions with security, re-usability, resilience and flexibility in mind, to influence the software and data direction of the company.
  • Build automated data systems to store, consolidate and retrieve data for consumption by internal users, ensuring data accuracy and availability for reporting and analysis.
  • Create interactive reports and dashboards with a focus on clear communication of insights.
  • Support the integration of production systems (MES/ERP) with internal software applications, e.g. through the development of APIs.
  • Work collaboratively to define a Data and Software roadmap and report/own those deliverables.
  • Deliver tactical quick wins and show adaptability and flexibility with day to day activity.
  • Be a Critical Thinker, understanding requirements and novel ways to deliver solutions effectively.
  • Act as a mentor and role model for more junior staff.
  • Comfortable working autonomously on fast-paced, high output projects.
  • Work with cross-functional teams / stakeholders to elicit and document solution requirements and manage delivery and prioritisation effectively.
  • Be enthusiastic about challenges, potentially beyond the initial scope of the role, and motivated by a new opportunity.

Education and Qualifications

  • Degree educated in computer/data science, or equivalent data engineering experience from time in industry.

Experience

  • Flexibility and Enthusiasm are key with a solid coding background to influence delivery.
  • Tech Stack: Primarily: SQL (SSMS, T-SQL, Stored procedures), Python, C, C++, C#.
  • User Interfaces: render insight with simple effective UI platforms.
  • Data Engineering: SQL querying and design of schemas for extendibility and readability, development of ETL processes and end-to-end data pipelines.
  • Software testing frameworks and designing automated software test systems.
  • Documentation and repository management experience.
  • Strong communication skills with the ability to explain comprehensive and complex software to all levels of expertise.
  • Software tools: Source Control (Git), Change management, Agile Tools (such as JIRA).
  • Demonstrated ability to work autonomously and as part of a team.
  • At least 5 years in Data Engineering (SQL), with good Software Development skills and best practice.
  • Ability to face into challenges and adapt.

Preferred Skills that Set You Apart

  • Experience in test, instrumentation equipment development, data acquisition and/or production systems (e.g. MES/ERPs), but not essential.

Communication

Ability to work flexibly and digest requirements, while quickly delivering solutions to suit needs, from PoC’s to hardened and resilient production systems

Ability to communicate at all levels with both internal and external contacts

Ability to present information clearly and appropriately for the audience

Ability to develop system which communicate information efficiently

Additional factors

  • Respect and adherence to confidentiality and critical matters
  • Responsible for ensuring a safe and healthy work environment by complying with company policies and processes and all relevant regulations including the use of PPE, as appropriate to the level and scope of the role. This includes participation in health and safety training and reporting of any potential hazards or breaches of safety protocols in the appropriate manner.
  • Willing to travel both domestically and abroad

At Paragraf we are constantly looking for new ways to support and reward our team. This is our current list of benefits, they are subject to change and review:

  • Group Personal Pension Plan- Employer contribution 5%, Employee contribution minimum 4%
  • Private health insurance on completion of probation
  • Share Option scheme
  • Death in service of 3 times salary and income protection on completion of probation
  • 25 days holiday, plus bank holidays, and the chance to ‘purchase’ up to 5 additional days each year
  • Personal and Professional Development Plans and support
  • Employee Assistance Programme
  • Cycle to work scheme
  • Electric Vehicle Lease Scheme
  • Payroll Giving scheme
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Data Engineer employer: Paragraf

Paragraf is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of graphene technology. With a strong commitment to employee growth, we provide comprehensive personal and professional development plans, alongside competitive benefits such as private health insurance and a generous pension scheme. Located in the heart of Cambridgeshire, our team enjoys a supportive environment that encourages flexibility and creativity, making it an ideal place for those looking to make a meaningful impact in the tech industry.

Paragraf

Contact Details:

Paragraf Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Paragraf.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Paragraf, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer

SQL (SSMS, T-SQL, Stored Procedures)
Python Programming
C/C++/C# Development
Data Architecture Design
ETL Process Development
Data Pipeline Construction
Automated Testing Frameworks

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Paragraf, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Paragraf. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Paragraf

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Paragraf!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.