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- Tasks: Develop and implement data engineering pipelines for impactful projects.
- Company: Rapidly growing, values-driven team working with government clients.
- Benefits: Fair compensation, dynamic work environment, and opportunities for innovation.
- Why this job: Shape the future of data solutions while making a difference in the UK.
- Qualifications: Experience in data engineering and strong stakeholder management skills.
- Other info: Learn about various business aspects in a fast-paced, supportive setting.
The predicted salary is between 36000 - 60000 £ per year.
Overview Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Engineer to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Data Engineer, you will work closely with our public sector clients and project teams to develop and implement data engineering pipelines to support data science and business/mission intelligence use cases.
What’s in it for you? In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations.
Key Responsibilities
- Assessing your clients’ technical needs and understanding how their needs are different to wants and managing clients’ stakeholders relationship appropriately
- Identifying data sources, data extraction, transformation, and loading (ETL/ELT) concepts and methods
- Designing, evaluating, and implementing on-premise, cloud-based and hybrid data engineering solutions (including providing review and guidance on testing aspects related to data engineering, identification of risks and proposing and implementing their mitigations)
- Modelling, structuring and storing data along with their data flows for uses including — but not limited to — analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations
- Harvesting and ingesting structured and unstructured data in different formats and standards
- Integrating, consolidating and cleansing data
- Migrating and converting data
- Applying ethical principles in handling data
- Ensuring appropriate storage of data in line with relevant legislation
- Building in security, compliance, scalability, efficiency, reliability, fidelity, flexibility and portability
- Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to ‘jump straight in’
- Supporting client engagements, including pitches and presentations
Data Engineer employer: Different Technologies Pty Ltd.
Contact Detail:
Different Technologies Pty Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Daintta. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by understanding Daintta's mission and values. Be ready to discuss how your experience aligns with their goals, especially around data-driven insights and solutions. This shows you're not just looking for any job, but that you genuinely want to be part of their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining Daintta and contributing to their mission.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, especially around data engineering pipelines and ETL/ELT concepts. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your values align with ours at Daintta. Show us your personality and let us know why you’re excited about this opportunity.
Showcase Your Projects: If you've worked on any projects related to data engineering, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Different Technologies Pty Ltd.
✨Know Your Data Engineering Basics
Before the interview, brush up on your data engineering fundamentals. Understand ETL/ELT processes, data modelling, and cloud-based solutions. Being able to discuss these concepts confidently will show that you're not just familiar with the terms but can apply them in real-world scenarios.
✨Research Daintta's Projects
Take some time to look into Daintta's past projects and their work with government clients. Knowing specific examples of how they’ve used data to drive insights will help you tailor your answers and demonstrate your genuine interest in their mission.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to explain how you would handle specific data challenges. Think about past experiences where you've successfully managed data pipelines or solved complex data issues, and be ready to share those stories.
✨Showcase Your Soft Skills
While technical skills are crucial, don't forget to highlight your soft skills. Daintta values communication and stakeholder management, so be prepared to discuss how you've effectively collaborated with teams or managed client relationships in previous roles.