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For Companies At a Glance
- Tasks: Design and implement data pipelines to empower clients with data-driven decisions.
- Company: Join a people-focused tech consultancy that values innovation and collaboration.
- Benefits: Remote work, wellness benefits, tech allowance, and competitive salaries.
- Why this job: Make a real impact by solving complex data challenges for diverse clients.
- Qualifications: Strong ETL skills, problem-solving mindset, and a passion for learning.
- Other info: Flexible work environment with opportunities for personal and professional growth.
The predicted salary is between 48000 - 80000 £ per year.
If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of a close-knit and helpful team that delivers nothing but the best work to our customers and each other.
What You’ll Do
- Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500.
- Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse.
- Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
- Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources.
- Build and implement ETL frameworks to improve code quality and reliability.
- Build and enforce common design patterns to increase code maintainability.
- Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data.
What You’ll Need
Must-Haves:
- Strong ETL proficiency using GUI-based tools or code-based patterns.
- Understanding of data-modeling principles.
- Passion for delivering compelling solutions that exceed client expectations.
- Excellent verbal and written communication.
- Strong problem-solving skills.
- Business acumen.
- A thirst to learn.
- Adaptability and flexibility in changing situations.
What We’d Like You to Have
- Experience with software engineering practices.
- Experience with modern data-engineering practices and frameworks.
- Experience with integration from semi-structured file and API sources.
- Matillion, Fivetran, dbt or other ETL tools.
What We Offer
- Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location.
- Wide choice of equipment for their home office, as well as a contribution towards standing desk equipment.
- Dedicated time off for volunteering.
- Wellness Benefit worth £1000 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
- Tech Allowance to cover accessories and furniture.
- EV Salary Sacrifice Benefit for savings on a lease car.
- Competitive salaries with room for advancement. Expected Salary range: £60-100K.
Why InterWorks
InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions, and we love pursuing innovation alongside people who inspire us. Our approach to work and community is unique and unconventional—just like us—and that’s the way we want it. The only thing missing is you. At InterWorks, we value unique contributions; our people are the glue that holds our business together. We’re always looking for the right people, and we could be your perfect fit.
Data Engineer employer: InterWorks
Contact Detail:
InterWorks 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 folks in the industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes or data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and explain your thought process clearly. Remember, communication is key, so practice articulating your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at InterWorks.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for data engineering shine through in your application. We want to see how much you love tackling complex data sets and building reliable pipelines. Share examples of projects that excited you!
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your ETL proficiency and any relevant tools you've used, like Matillion or Fivetran. We appreciate a tailored approach!
Communicate Clearly: Since communication is key in our team, ensure your written application is clear and concise. Use straightforward language to describe your experiences and how they relate to the role. We love a good storyteller!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at InterWorks
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data engineering concepts, especially ETL processes and data modelling principles. Be ready to discuss specific projects where you've tackled complex data sets and how you approached problem-solving.
✨Showcase Your Communication Skills
Since clear communication is key in this role, practice explaining technical concepts in simple terms. Prepare examples of how you've effectively communicated with both technical and non-technical stakeholders in past projects.
✨Demonstrate Your Passion for Learning
InterWorks values adaptability and a thirst for knowledge. Share instances where you've learned new technologies or frameworks on the job. Highlight any relevant courses or certifications that showcase your commitment to staying current in the field.
✨Prepare for Technical Questions
Expect to face technical questions related to data pipelines, cloud-native solutions, and ETL tools like Matillion or Fivetran. Brush up on these topics and be ready to discuss your hands-on experience with them, as well as any challenges you've overcome.
