At a Glance
- Tasks: Build data platforms and pipelines while collaborating with Data Scientists and Engineers.
- Company: Join Sahaj, a forward-thinking company with a culture of trust and transparency.
- Benefits: Enjoy unlimited leave, life insurance, private health insurance, and open salaries.
- Other info: Collaborate with top industry minds and solve real business problems across various domains.
- Why this job: Make a real impact in data engineering and grow your skills in a supportive environment.
- Qualifications: Experience as a Senior Data Engineer with skills in Python, Scala, and big data technologies.
The predicted salary is between 63000 - 77000 £ per year.
About the role
As a Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches.
Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy.
This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology.
We aim to allow growth without becoming “post-technical”
Responsibilities
- Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems
- Build frameworks and supporting tooling for data ingestion from a complex variety of sources
- Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology
- Model their data for increased visibility and performance
- You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves.
- You will work in short sprints to deliver working software
- You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation
Skills you’ll need
- Demonstrated experience as a Senior Data Engineer in complex enterprise environments.
- Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala
- Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake
- Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical
- A nuanced understanding of code quality, maintainability and practices like Test Driven Development
- Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD
- Understanding of Cloud platforms, Dev Ops, Git Ops, Containers
- Give yourself an opportunity to
- Experience a culture of trust, respect and transparency powered by holacracy.
- An environment that will allow you to hone your craft.
- Collaborate with multi-disciplinary teams to solve some real business problems.
- Solve problems across different domains. Level-up on difficult problems.
- Find your balance between work and life’s ups and downs with unlimited leave when you really need it.
- Not be exploited, as everyone knows everyone’s salary. Radical pay transparency.
- Own what you build. When Sahaj grows in impact and value, you’ll have a share in that upside.
What will you experience in terms of culture at Sahaj?
- A culture of trust, respect and transparency
- Opportunity to collaborate with some of the finest minds in the industry
- Work across multiple domains
What are the benefits of being at Sahaj?
- Unlimited leaves
- Life insurance & private health insurance
- No hierarchy
- Open Salaries
- #J-18808-Ljbffr
Lead Data Engineer employer: Sahajsoftware
Sahajsoftware offers a unique work culture characterized by high trust and transparency, allowing employees to take ownership of their projects. With a focus on professional growth and collaboration, the company provides opportunities to work alongside exceptional talent in solving complex challenges. Employees are empowered to influence teams and guide organizations through technology and business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 Sahajsoftware!
✨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 Lead Data Engineer at Sahajsoftware.
✨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 Sahajsoftware.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Sahajsoftware, 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 Lead Data Engineer
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 Sahajsoftware, 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 Sahajsoftware. 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 Sahajsoftware
✨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 Sahajsoftware!
✨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.
