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- Tasks: Join us as an Analytics Engineer, designing data models and transforming data using DBT.
- Company: Be part of a modernising software company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary up to £60,000 plus fantastic extra perks.
- Why this job: Work remotely, establish best practices, and make a real impact in a growing tech environment.
- Qualifications: Strong SQL/Python skills and experience with data transformation are essential.
- Other info: This is an entry-level full-time position with opportunities for growth.
The predicted salary is between 43200 - 72000 £ per year.
Get AI-powered advice on this job and more exclusive features.This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range Direct message the job poster from HarnhamBuilding Data Engineering Teams Across the North of England and Midlands ANALYTICS ENGINEERPIMARILY REMOTEAn opportunity to join a subscriber based software company as an Analytics EngineerTHE COMPANY:Over the past few years, this company has been undergoing the process of modernisation and has invested in migrating to DBT and a more modern tech stack. They are now keen for a dedicated Analytics Engineer to establish best practice and create a product environment.THE ROLE:A remote working Analytics Engineer will need to:Design and build data modelsSupport implementation and maintenance of ELT pipelinesIngest data into RedshiftTransform data using DBTYOUR SKILLS AND EXPERIENCE:A successful Analytics Engineer will have the following skills and experience:Ability and experience interacting with key stakeholdersStrong experience in SQL/PythonData transformation experience using DBTTHE BENEFITS:You will receive a salary, dependent on experience. Salary is up to £60,000 On top of the salary there are some fantastic extra benefits.HOW TO APPLYPlease register your interest by sending your CV to Molly Bird via the apply link on this page.Seniority level Seniority level Entry levelEmployment type Employment type Full-timeJob function Job function AnalystIndustries Technology, Information and MediaReferrals increase your chances of interviewing at Harnham by 2xGet notified about new Data Engineer jobs in Manchester, England, United Kingdom .Manchester, England, United Kingdom 5 days agoManchester, England, United Kingdom 1 day agoManchester, England, United Kingdom 1 day agoManchester, England, United Kingdom 1 week agoManchester, England, United Kingdom 2 days agoNelson, England, United Kingdom 1 week agoManchester Area, United Kingdom 1 hour agoWarrington, England, United Kingdom 1 week agoManchester, England, United Kingdom 12 hours agoWilmslow, England, United Kingdom 12 hours agoManchester, England, United Kingdom 1 day agoManchester Area, United Kingdom 1 week agoAudenshaw, England, United Kingdom 1 day agoManchester Area, United Kingdom 1 week agoManchester, England, United Kingdom 2 hours agoKnutsford, England, United Kingdom 3 hours agoManchester Area, United Kingdom 3 hours agoManchester, England, United Kingdom 1 week agoManchester Area, United Kingdom 1 week agoChadderton, England, United Kingdom 1 week agoManchester, England, United Kingdom 1 week agoManchester, England, United Kingdom 6 days agoManchester, England, United Kingdom 2 days agoManchester Area, United Kingdom 2 days agoManchester, England, United Kingdom 1 week agoKnutsford, England, United Kingdom 2 hours agoWe\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around DBT and ELT pipelines. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the analytics and data engineering space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, which can significantly increase your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with SQL and Python in detail. Be ready to share specific examples of how you've used these skills in past projects, as this will showcase your practical knowledge and problem-solving abilities.
✨Tip Number 4
Research the company’s recent projects and initiatives related to data modernisation. Showing that you understand their goals and challenges will help you stand out as a candidate who is genuinely interested in contributing to their success.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data transformation using DBT. Emphasise any relevant projects or roles that demonstrate your ability to interact with stakeholders and build data models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in designing and building data models and supporting ELT pipelines.
Showcase Relevant Experience: When detailing your work experience, focus on specific achievements related to analytics engineering. Use metrics to quantify your impact, such as improvements in data processing times or successful project completions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an Analytics Engineer.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and DBT during the interview. Be prepared to discuss specific projects where you've successfully implemented data transformation and built data models.
✨Understand the Company’s Tech Stack
Research the company's current tech stack and their migration to DBT. Demonstrating knowledge about their tools and processes will show your genuine interest in the role and how you can contribute to their modernisation efforts.
✨Prepare for Stakeholder Interaction
As an Analytics Engineer, you'll need to interact with key stakeholders. Prepare examples of how you've effectively communicated technical concepts to non-technical audiences in the past, showcasing your ability to bridge the gap between data and business needs.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your understanding of the role and the company’s goals. Inquire about their best practices for data modelling or how they measure the success of their ELT pipelines to demonstrate your proactive mindset.
