At a Glance
- Tasks: Build and maintain scalable SQL and Python data pipelines for financial reporting.
- Company: Join a leading recruitment agency in analytics with a focus on innovation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Dynamic role with a proactive approach and great referral schemes.
- Why this job: Take ownership of a critical data platform and shape its future.
- Qualifications: Strong SQL and Python skills, experience with data warehouses, and excellent communication.
The predicted salary is between 60000 - 70000 £ per year.
Senior Data Engineer
Are you a Senior Data Engineer who enjoys building reliable data solutions and isn't afraid to get stuck into an established SQL environment?
We're looking for an experienced Data Engineer to take ownership of a business-critical SQL data warehouse, supporting financial reporting and analytics while helping evolve the platform over time.
This is a hands-on role where you'll work closely with Finance and business stakeholders, developing robust data pipelines, maintaining trusted reporting solutions and driving improvements across the data platform.
- What you'll be doing
- Designing, building and maintaining scalable SQL and Python data pipelines.
- Managing and developing a business-critical SQL data warehouse.
- Supporting and enhancing Microsoft SQL Server, SSIS and SSRS solutions.
- Developing robust data models to support financial reporting, forecasting and planning.
- Working closely with Finance and business stakeholders to translate requirements into scalable data solutions.
- Driving engineering best practice, including version control, CI/CD, automated testing and documentation.
- Monitoring data quality, performance and pipeline health, resolving issues proactively.
- Supporting the ongoing evolution of the data platform and cloud environment.
What we're looking for
- Strong SQL and Python development skills.
- Experience managing and developing SQL data warehouses.
- Strong experience with Microsoft SQL Server, SSIS and SSRS.
- Experience building production-grade ETL and data pipelines.
- Experience working with financial data and supporting reporting or planning functions.
- Excellent communication skills with the ability to work closely with both technical and non-technical stakeholders.
- A proactive, hands-on approach and a willingness to take ownership.
If you're looking for a role where you can take ownership of a critical data platform while helping shape its future, we want to hear from you.
For more information make an application today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
If you have a friend or colleague who would be interested in this role, please refer them to us.
For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK.
For more information visit our website
Senior Data Engineer in Manchester employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Datatech Analytics!
✨Show Off Your Projects
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 Senior Data Engineer at Datatech Analytics.
✨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 Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Datatech Analytics, 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 Senior 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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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 Datatech Analytics!
✨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.
