At a Glance
- Tasks: Join a team to modernise a complex data platform using Snowflake and various technologies.
- Company: A major European consumer organisation investing in cutting-edge data capabilities.
- Benefits: Competitive pay, hands-on experience, and the chance to work on impactful projects.
- Other info: Dynamic environment with opportunities for growth and learning in data engineering.
- Why this job: Be part of a significant data transformation and enhance your engineering skills.
- Qualifications: Experience with Python, Snowflake, and data migration; adaptable and proactive mindset.
The predicted salary is between 63000 - 77000 £ per year.
Harnham is partnering with a major European consumer organisation on a large-scale modernisation of its data platform. Operating across multiple markets with millions of consumers, the organisation has grown significantly over time, resulting in a complex data estate spanning different technologies, platforms and legacy environments.
THE ROLE
You’ll join a dedicated migration project, working alongside an established internal Data function to move legacy workloads onto the organisation's modern data stack. This isn't simply building new Snowflake pipelines. You’ll need to understand existing workloads across technologies such as Redshift, EC2, R and Python, determine how they work, and redesign them within the new architecture.
You’ll work across:
- Migrating legacy pipelines and workloads into Snowflake
- Building and refactoring pipelines using Python
- Developing orchestration through Airflow / MWAA
- Infrastructure and deployment using Terraform and Docker
- Supporting transformation and modelling using dbt
- Working across both legacy and modern AWS data environments
- Investigating existing systems and proactively solving migration challenges
YOUR SKILLS AND EXPERIENCE
We’re looking for a broad, hands-on Data Engineer who is comfortable working across data engineering, software engineering and infrastructure.
Core experience:
- Python
- Airflow / MWAA
- Snowflake
- Terraform
- AWS
Desirable experience:
- dbt
- Docker
- Redshift
- R
- Data platform migrations or modernisation programmes
The ideal candidate will have worked within complex or fast-moving environments and be comfortable taking ownership, investigating unfamiliar systems and working across multiple technologies.
THE COMPANY
You’ll be joining a large, established European consumer organisation undergoing significant investment in its data capabilities. With thousands of employees, operations across multiple European markets and a significant consumer footprint, the scale of the organisation creates a genuinely complex engineering environment. This is an opportunity to work on a major modernisation programme, helping consolidate years of legacy technology into a common, scalable data platform.
Data Engineer (Contract) employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (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 Harnham 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 Harnham.
✨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 Harnham.
We think you need these skills to ace Data Engineer (Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, 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 Harnham, 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 Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨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 Harnham.
✨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 Harnham.
✨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 Harnham.
