At a Glance
- Tasks: Lead teams to create seamless data solutions and enhance user experiences.
- Company: Join an inclusive tech community that values curiosity and collaboration.
- Benefits: Enjoy health perks, generous leave, and a supportive work environment.
- Other info: Diverse workplace committed to supporting all employees' well-being.
- Why this job: Make a real impact in data engineering while leading innovative projects.
- Qualifications: Experience with AWS, data pipelines, and team leadership required.
The predicted salary is between 70000 - 90000 £ per year.
Are you up for the challenge of creating seamless user experiences from every angle? Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner. You'll be leading teams who are collectively responsible for delivering functioning solutions to our clients. Junior members of the team will look to you for support, guidance and help with decisions.
Responsibilities
- Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
- Perform tasks such as writing scripts, extracting data using APIs, writing SQL queries, etc.
- Work closely with other engineering teams to integrate the data engineering component into production systems.
- Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
- Ability to travel to client site, where required, will be a consideration.
- Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
- Knowledge of data mining, machine learning, natural language processing is an advantage.
- You enjoy working within cross‑functional Agile teams and you are familiar with Scrum ceremonies.
- You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform‑as‑a‑Service components and perhaps even server‑less and container technologies.
Qualifications
- AWS is a significant growth area for us with a diverse and growing capability and we are looking for a data engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
- There are a variety of different tools, cloud technologies and approaches and while we have a preference for AWS tooling experience, open‑source equivalence will be suitable.
- As a Lead Data Engineer, you’ll have experience leading teams to design, build, and maintain large‑scale data solutions and applications using AWS data and analytics services (or open‑source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
- Your team members will look to you as a trusted expert and will expect you to define the end‑to‑end software development lifecycle in line with modern AWS best practices.
- Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing.
Benefits
- Health and lifestyle perks accompanying private healthcare for you and your family.
- 25 days annual leave with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity‑based initiatives.
- Annual performance‑based bonus.
- PA share ownership.
- Tax efficient benefits (cycle to work, give as you earn).
We are dedicated to supporting the physical, emotional, social and financial well‑being of our people. Check out some of our extensive benefits. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations – Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Lead Data Engineer in Belfast employer: PA Consulting
As a Lead Data Engineer at our company, you'll thrive in an inclusive and dynamic environment that champions innovation and collaboration. We offer extensive benefits, including private healthcare, generous annual leave, and a commitment to your professional growth through diverse projects and community initiatives. Join us in a culture that values every individual's contributions and fosters a supportive atmosphere for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 data engineering projects, especially those involving AWS tools. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences leading teams and delivering solutions.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with AWS, data pipelines, and any leadership roles you've had. We want to see how you can bring your unique flair to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our mission. Be genuine and let your personality come through – we love to see the real you!
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work, especially if it involves AWS or big data solutions. This gives us a taste of what you can do and how you approach challenges.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy and ensures your application lands in the right hands. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at PA Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS tools like EMR, Glue, and RedShift. Brush up on your Java, Python, and SQL skills, as you'll likely be asked to demonstrate your knowledge during the interview.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you’ll need to guide junior team members. Prepare examples of how you've successfully led teams in the past, focusing on your approach to mentoring and decision-making. This will show that you can not only deliver results but also inspire others.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in data engineering, particularly around data pipelines and integration. Be ready to discuss how you approached these issues and what the outcomes were.
✨Understand the Company Culture
Familiarise yourself with the company’s values and culture, especially their commitment to inclusivity and community initiatives. Be prepared to discuss how your personal values align with theirs, as cultural fit is often just as important as technical skills.
