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- Tasks: Lead and develop innovative data engineering platforms using cutting-edge technologies.
- Company: Join Synechron, a global consulting firm transforming businesses with digital solutions.
- Benefits: Flexible workplace, mentoring, learning opportunities, and a commitment to diversity.
- Why this job: Make a real impact in a dynamic environment with top clients and advanced tech.
- Qualifications: Experience with Hadoop, Spark, Python, and building ETL/ELT data pipelines.
- Other info: Be part of a diverse team that values creativity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas:
- Extensive enterprise experience with Hadoop, Spark, and Splunk.
- Proficiency in object-oriented and functional scripting, particularly in Python.
- Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
- Experience integrating large, disparate datasets using modern tools and frameworks.
- Strong background in building and optimizing ETL/ELT data pipelines.
- Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
- Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
- Ability to pair program and work effectively with other engineers.
- Excellent analytical and problem-solving abilities.
- Knowledge of agile methodologies such as Scrum or Kanban is a plus.
- Comfortable representing the team in standups and problem-solving sessions.
- Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
- Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
- Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Lead Data Engineer employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research Synechron's projects and values, and think about how your skills in data engineering can contribute to their innovative solutions. Practise common interview questions and be ready to showcase your technical expertise.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repository or a personal portfolio, having tangible examples of your work can set you apart. Highlight your experience with Hadoop, Spark, and Python to demonstrate your fit for the Lead Data Engineer role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining Synechron and being part of our diverse and inclusive culture.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Hadoop, Spark, and Python, and don’t forget to mention any relevant projects that showcase your skills in data engineering.
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 background aligns with Synechron's mission. Be sure to mention your experience with ETL/ELT pipelines and collaboration with BI teams.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. This could be through specific projects or situations where you had to think on your feet and come up with innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process!
How to prepare for a job interview at Synechron
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Hadoop, Spark, and Splunk. Brush up on your Python skills and be ready to discuss how you've handled different types of data, as this will show your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Be ready to explain your thought process and the tools you used, especially in fast-paced environments where collaboration with BI and Analytics teams is key.
✨Familiarise Yourself with Agile Methodologies
Since familiarity with agile methodologies like Scrum or Kanban is a plus, it’s a good idea to understand these concepts. Think of instances where you’ve worked in an agile environment and how it helped your team deliver better results.
✨Emphasise Team Collaboration
Highlight your experience in pair programming and working effectively with other engineers. Be prepared to discuss how you’ve contributed to team standups and problem-solving sessions, as this shows you can thrive in a collaborative setting.