At a Glance
- Tasks: Build and maintain data pipelines using AWS, Python, and Apache Airflow.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Earn £550 per day, work remotely, and enjoy contract flexibility.
- Other info: Initial 6-month contract with potential for a 12-month extension.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: Strong experience in data engineering, AWS, Python, and Apache Airflow required.
The predicted salary is between 63000 - 77000 £ per year.
We're urgently looking for an experienced Data Engineer with strong AWS, Python and Apache Airflow skills to join a programme on an initial six-month contract. You'll help build and maintain reliable data pipelines, develop cloud-based data solutions and make data available for downstream analytics and programme requirements. This opportunity would suit someone who combines practical engineering skills with a focus on data quality, reliability and maintainability. Experience supporting machine learning or artificial intelligence programmes would be valuable. Marine or geospatial data experience would also be a significant advantage, although neither is essential.
What you'll be doing:
- Developing and maintaining data pipelines using Python and AWS services.
- Building, scheduling and monitoring data workflows with Apache Airflow.
- Integrating data from multiple sources and preparing it for downstream use.
- Improving pipeline reliability, performance and data quality.
- Investigating data processing issues and implementing robust solutions.
- Working with technical colleagues and stakeholders to understand data requirements.
- Writing clear, maintainable code and documenting data workflows and processes.
- Applying appropriate security practices when handling data and developing solutions.
Essential skills and experience:
- Strong commercial experience in data engineering.
- Hands-on experience building and supporting data solutions on AWS.
- Strong Python development skills for data processing and integration.
- Practical experience using Apache Airflow to orchestrate data workflows.
- Experience developing reliable, maintainable data pipelines.
- A methodical approach to troubleshooting and resolving data issues.
- The ability to communicate clearly and work effectively in a remote team.
Desirable experience:
- Experience delivering data engineering within ML or AI programmes.
- Experience working with marine data.
- Experience processing or managing geospatial datasets.
Clearance and eligibility:
Applicants must hold active SC clearance that has been used within the last 12 months. This role is restricted to sole British nationals. Applicants holding dual citizenship cannot be considered. Please confirm that you meet both requirements when applying.
Contract details:
- £550 per day
- Outside IR35
- Remote working
- Initial six-month contract
- A further 12-month extension is planned
If you have the required AWS, Python and Airflow experience and meet the clearance and nationality requirements, please send your latest CV along with your availability. Please highlight any relevant ML, AI, marine or geospatial experience in your application.
Data Engineer – Remote employer: Exalto Consulting
Join a dynamic consultancy in London that prioritises employee growth and development, offering a collaborative work culture where your expertise will directly impact transformational outcomes for leading UK organisations. With a focus on digital transformation, you will benefit from a competitive salary, flexible hybrid working arrangements, and opportunities to engage with senior stakeholders, ensuring your contributions are recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Remote
✨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 Exalto Consulting 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 Exalto Consulting.
✨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 Exalto Consulting.
We think you need these skills to ace Data Engineer – Remote
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Exalto Consulting, 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 Exalto Consulting, 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 Exalto Consulting’s attention and show the tangible impact of your work.
How to prepare for a job interview at Exalto Consulting
✨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 Exalto Consulting.
✨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 Exalto Consulting.
✨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 Exalto Consulting.
