At a Glance
- Tasks: Design and develop scalable data pipelines and modern data solutions.
- Company: A growing organisation investing in data capabilities with a remote-first culture.
- Benefits: Competitive salary, autonomy, and clear progression opportunities.
- Other info: Join a high-performing team in a flexible and supportive environment.
- Why this job: Work on exciting greenfield projects that directly impact the business.
- Qualifications: Strong SQL skills and experience with cloud data warehouses like Snowflake or BigQuery.
The predicted salary is between 45000 - 60000 £ per year.
This is an opportunity to join a growing data function building modern cloud data platforms from the ground up. You will work in a fully remote environment with real ownership across the full lifecycle, from design through to deployment, on greenfield data projects that have a direct impact on the wider business.
The Company
They are a scaling organisation investing heavily in their data capability and building a high performing engineering team. The function is led by an experienced Head of Data, with a mix of data and analytics engineers already in place. They operate a remote first model across the UK and Republic of Ireland, creating a flexible and autonomous working environment. Hiring is ongoing as the team continues to grow.
The Role
You will contribute to the development of modern data solutions in a collaborative engineering team. Key responsibilities include:
- Designing and developing scalable data pipelines for ingestion and transformation
- Writing high quality SQL for complex data modelling and analytics use cases
- Implementing dimensional models using Kimball methodologies
- Working with cloud data warehouse technologies such as Snowflake or BigQuery
- Supporting analytics use cases and collaborating with stakeholders across the business
- Contributing to data platform improvements and best practices
Your Skills and Experience
- Strong commercial experience writing complex SQL, including CTEs and window functions
- Experience working with modern cloud data warehouses such as Snowflake, BigQuery or similar
- Solid understanding of dimensional modelling and data warehousing concepts
- Exposure to data transformation tools such as DBT is beneficial
- Basic knowledge of Python, ideally in the context of orchestration tools like Airflow
- Confident communication skills and the ability to work effectively in a remote team
- A proactive approach with the ability to take ownership and solve problems independently
What They Offer
- Opportunity to work on greenfield projects with modern technologies
- Clear progression opportunities as the team continues to scale
- Autonomy and ownership in a high trust environment
How to Apply
If you are interested in this Data Engineer opportunity, please apply with your CV to find out more.
Ingegnere dei dati (f/m) in Manchester employer: Harnham - Data & Analytics Recruitment
Join a dynamic and rapidly growing organisation that prioritises innovation in data engineering. With a fully remote work model across the UK and Republic of Ireland, you will enjoy a flexible and autonomous environment that fosters collaboration and personal growth. The company is committed to investing in your development, offering clear progression opportunities as you contribute to impactful greenfield projects using cutting-edge technologies.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in Manchester
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We think you need these skills to ace Ingegnere dei dati (f/m) 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!
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Craft a Tailored Cover Letter:For a full-time role at Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment
✨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!
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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
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✨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.
