At a Glance
- Tasks: Ensure accurate data processing and enhance efficiency in client jobs.
- Company: Join a dynamic team focused on data excellence and innovation.
- Benefits: Competitive salary, remote work options, and opportunities for skill development.
- Other info: Collaborative environment with a focus on personal growth and teamwork.
- Why this job: Make a real impact by improving data solutions for clients.
- Qualifications: 1-3 years of data processing experience and strong skills in Databricks and SQL.
The predicted salary is between 35000 - 45000 £ per year.
As a Data Engineer within the Production team, you will play a critical role in the swift, accurate, and secure progression of client jobs. You will be responsible for ensuring the reliability of data outputs, standardising external data, and driving process improvements that enhance our overall efficiency. This role bridges technical execution with operational excellence, requiring a proactive individual who is detail-driven, process-oriented, and eager to grow their skills within AWS and Databricks. You will work closely with Account Managers, Sales, and cross-functional teams to deliver high-quality data solutions that meet our clients' needs.
Key Responsibilities
- Data Processing & Accuracy: Ensure the swift, accurate, and secure progression of client jobs, performing bespoke file matches, standardisation, enhancement, and deduplication of external data. Ensure the highest standards of data accuracy and reliability in all outputs, actively monitoring for discrepancies to reduce errors and rework over time. Maintain strict adherence to security, confidentiality, and data compliance protocols in all data handling.
- Technical Execution & Process Improvement: Perform ad-hoc queries, counts, and data manipulation using Databricks, SQL, and FastStats. Identify, propose, and implement process improvements to enhance productivity, accuracy, and the overall efficiency of the Production team. Develop and maintain robust ETL (Extract, Transform, Load) logic tailored to production requirements.
- Documentation & Operations: Create, maintain, and update all in-scope documentation for the Production Team. Map and document comprehensive process flows for each job type within Databricks to ensure operational resilience and knowledge sharing.
- Cross-Functional Collaboration & Customer Focus: Collaborate effectively with Account Managers, Sales, Development, and Product teams to align data outputs with business and client expectations. Actively gather and respond to feedback from stakeholders to measure customer satisfaction and continuously improve the usefulness and quality of data outputs.
- Training & Development: Take ownership of your own learning path, setting self-objectives for skill growth, particularly in AWS and Databricks ecosystems. Promote and implement knowledge transfer among team members to elevate the collective technical capability of the Production team.
Skills and Experience
- Data Processing: 1‑3 years of "hands‑on" data processing experience, preferably working with name and address data used for marketing.
- Technical Proficiency: Strong practical experience with Databricks and SQL.
- Data Manipulation: Deep understanding of logical data manipulation processes, including data reformats, hygiene, enhancement, and deduplication.
- Quality Assurance: Proven ability to analyze datasets, spot anomalies, and implement rigorous testing/validation to ensure data integrity.
- Tools: Good working knowledge of the Microsoft Office suite (Word, Excel, Outlook). Familiarity or experience with FastStats. Programming experience in Python or similar languages used for data engineering. Basic understanding or exposure to cloud platforms, specifically AWS. Knowledge of various industry suppression files. Experience with project management or ticketing tools (e.g., ClickUp).
Personal Attributes & Behaviours
- Self‑Starter & Autonomous: Highly organised, efficient, and deadline‑focused. You manage your own time effectively and take the initiative to solve problems.
- Detail‑Driven & Process‑Orientated: You pride yourself on quality delivery, paying meticulous attention to detail, and ensuring completeness in all the work you do.
- Agile & Curious: You have an inquisitive mind, embrace change, and are never afraid to ask questions to deepen your understanding or challenge the status quo.
- Trusted & Customer‑Focused: You build strong relationships with clients and internal stakeholders by demonstrating uncompromised integrity, openness, and accountability.
- Clear Communicator: You practice open, honest, and simple communication, translating complex data concepts into understandable insights for non‑technical stakeholders.
- One Team Player: You work in unity and collaboration with colleagues and clients, treating everyone as one big team working toward a shared purpose.
Data Engineer employer: Occupop
As a Data Engineer in our dynamic Production team, you will thrive in a collaborative environment that prioritises innovation and continuous improvement. We offer a supportive work culture that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and Databricks, alongside opportunities for skill development and knowledge sharing. Join us to be part of a forward-thinking company that values detail-oriented individuals and fosters a strong sense of teamwork, all while delivering high-quality data solutions to our clients.
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 potential colleagues on LinkedIn. 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 projects, especially those involving Databricks and SQL. This gives you a chance to demonstrate your technical prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you can highlight your attention to detail and process-oriented mindset, as these are key traits for the role.
✨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 genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data processing, SQL, and Databricks. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Show Your Attention to Detail:As a Data Engineer, being detail-driven is key. In your application, emphasise your ability to spot discrepancies and ensure data accuracy. Use specific examples to illustrate how you've maintained high standards in your previous roles.
Demonstrate Your Proactivity:We love candidates who take initiative! Share instances where you’ve identified process improvements or taken ownership of your learning path, especially in AWS or Databricks. This shows us you're eager to grow and contribute to our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Occupop
✨Know Your Data Inside Out
Before the interview, brush up on your data processing skills, especially with name and address data. Be ready to discuss your hands-on experience with Databricks and SQL, and prepare examples of how you've ensured data accuracy and reliability in past projects.
✨Show Off Your Problem-Solving Skills
Think of specific instances where you've identified process improvements or solved data-related issues. Be prepared to explain your thought process and the impact of your solutions on productivity and efficiency. This will demonstrate your proactive nature and detail-driven approach.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. During the interview, focus on clear communication, especially when discussing technical topics. This will show that you can bridge the gap between technical execution and operational excellence, which is key for this role.
✨Emphasise Your Collaborative Spirit
Highlight your experience working with cross-functional teams, like Account Managers and Sales. Share examples of how you've gathered feedback and responded to client needs, showcasing your customer-focused mindset and ability to work as part of a team.
