At a Glance
- Tasks: Join a team to ingest, model, and publish data for business growth.
- Company: Dynamic company focused on innovative analytics solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by developing analytical products that drive business success.
- Qualifications: 5 years of engineering experience with a strong analytical mindset.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- At least 5 years of engineering experience with an analytical mindset
- Solid understanding of architectures, design principles and engineering best practices
- Experience across all stages of the data pipeline: ingestion, transformations, mart creation
- Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT
What the job involves
- You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business.
- You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.
- Working closely with product and business stakeholders to define and build meaningful product metrics.
- Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
- Improving our architecture (cloud-based and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices.
- Taking ownership of projects from scoping to delivery and adoption, working autonomously.
Analytics Engineering in London employer: Deepstreamtech
As an employer, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering team to thrive. Located in a vibrant tech hub, we offer competitive benefits, continuous professional development opportunities, and the chance to work with cutting-edge technologies like S3, Snowflake, and Airflow. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any analytical products you've developed. We want to see your work in action, so make it easy for potential employers to understand your impact.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of S3, Snowflake, Airflow, Python, and DBT. We recommend practising common interview questions related to data pipelines and engineering best practices to really impress your future team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Analytics Engineering in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your engineering experience, especially if you've got a solid analytical mindset. We want to see how your past roles have prepared you for the challenges of this position.
Know Your Tech Stack:If you've worked with S3, Snowflake, Airflow, Python, or DBT, shout about it! Even if you haven't, show us your understanding of data pipelines and how you can adapt to our tech stack.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity and directness, so make sure your skills and experiences shine through without any fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like S3, Snowflake, Airflow, Python, and DBT. Brush up on how these technologies work together in a data pipeline, as you might be asked to discuss your experience with them during the interview.
✨Showcase Your Analytical Mindset
Prepare examples that demonstrate your analytical thinking and problem-solving skills. Think about specific projects where you’ve had to design data models or dashboards, and be ready to explain your thought process and the impact of your work.
✨Understand the Business Impact
Be ready to discuss how your engineering decisions can affect business outcomes. Familiarise yourself with concepts like cost reduction and speed improvements, and think of ways you’ve applied these principles in past roles.
✨Collaboration is Key
Since the role involves working closely with product and business stakeholders, prepare to talk about your experience in cross-functional teams. Highlight any successful collaborations and how you’ve ensured that everyone is aligned on project goals.
