At a Glance
- Tasks: Develop and maintain real-time and batch ETL processes using cutting-edge tech.
- Company: Join a trailblazer in global data insights, delivering innovative solutions to top brands.
- Benefits: Enjoy 25 days annual leave, life assurance, flexible hours, and a learning budget.
- Other info: Collaborative team environment with excellent career growth opportunities.
- Why this job: Make an impact on big data engineering while working with advanced analytics.
- Qualifications: Strong Python, SQL, and AWS skills required; experience with large datasets is a plus.
The predicted salary is between 60750 - 74250 £ per year.
BRAND NEW DATA ENGINEER OPPORTUNITY IN MANCHESTER – HYBRID WORKING
Salary up to £55,000 p/a plus bonus & excellent benefits
Work on complex, large-scale data pipelines with cutting-edge tech. We’re looking for strong Python, SQL, and AWS skills, plus experience in ETL processes. Hybrid working – 2-3 days in the office.
ABOUT THE CLIENT:
Our client is a trailblazer in the global data insights space, delivering innovative and actionable solutions to some of the most well-known brands worldwide. They specialise in enabling organisations to make smarter, faster decisions through advanced analytics and high-quality data pipelines. With over a decade of experience, they’re now seeking a talented Data Engineer to help drive the performance, scalability, and reliability of their reporting and analytics capabilities. You’ll join a collaborative, forward-thinking team working at the forefront of big data engineering.
A GLIMPSE AT THE BENEFITS / CULTURE:
- 25 days’ annual leave + bank holidays (option to buy/sell after 2 years)
- Life assurance & employer pension contributions
- Choice of tech setup to suit your needs
- Learning & development budget + 1:1 coaching
- Hybrid working with flexible hours
- £100 annual home office allowance
DATA ENGINEER ROLE:
In this hands-on position, you’ll develop and maintain a mix of real-time and batch ETL processes, ensuring accuracy, integrity, and scalability across vast datasets. You’ll work with Python, SQL, Apache Spark, and AWS services such as EMR, Athena, and Lambda to deliver robust, high-performance solutions. You’ll also play a key role in optimising data pipeline architecture, supporting knowledge sharing within the team, and collaborating with stakeholders to translate business requirements into technical solutions.
KEY SKILLS / EXPERIENCE:
- Proven experience as a Data Engineer, with Python & SQL expertise
- Familiarity with AWS services (or equivalent cloud platforms)
- Experience with large-scale datasets and ETL pipeline development
- Knowledge of Apache Spark (Scala or Python) beneficial
- Understanding of agile development practices, CI/CD, and automated testing
- Strong problem-solving and analytical skills
- Positive team player with excellent communication abilities
TO BE CONSIDERED:
Please either apply by clicking online or emailing chris.hopley@searchability.com. For further information please contact via 07880 358 143 / 01244 567 925. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Data Engineer in Manchester employer: Searchability®
Join a dynamic and innovative technology company in the heart of Manchester, where you'll have the opportunity to lead technical innovation on a mature SaaS platform. With a strong emphasis on collaboration, employee development, and a transparent progression framework, this role offers not only competitive pay but also unique benefits like profit sharing and regular team-building activities. Experience a vibrant work culture that prioritises autonomy and continuous improvement, making it an excellent place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Searchability®!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Searchability®.
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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 Searchability®.
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We think you need these skills to ace Data Engineer in Manchester
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 Searchability®, 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 Searchability®. 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 Searchability®
✨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 Searchability®!
✨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.
