At a Glance
- Tasks: Design and develop scalable data pipelines and enterprise data platforms.
- Company: Join NTT DATA, a global leader in tech and innovation.
- Benefits: Enjoy competitive salary, hybrid work, and comprehensive benefits.
- Other info: Flexible work options and excellent career growth opportunities await you.
- Why this job: Make an impact with cutting-edge data solutions in a dynamic environment.
- Qualifications: 5+ years in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
NTT DATA is currently looking for a Tech Consultant - Data Engineer (hybrid: London + remote) for our growing team in the UK.
Role Summary: We are seeking an experienced Tech Consultant – Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate will have strong expertise in ETL/ELT processes, data modeling, cloud-based data platforms, and big data technologies. The role involves collaborating with business stakeholders, data architects, data scientists, and application teams to build reliable, secure, and high-performance data solutions that support analytics and business intelligence initiatives.
Day to Day Job Duties:
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Build and optimize data ingestion, transformation, and integration processes from multiple data sources.
- Develop and maintain data models, data warehouses, and data lakes to support business reporting and analytics.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Optimize data pipeline performance, scalability, reliability, and data quality.
- Implement data governance, validation, and security best practices.
- Troubleshoot production data issues and perform root cause analysis.
- Develop reusable data frameworks and automation for data processing.
- Support CI/CD deployment of data engineering solutions and participate in code reviews.
- Maintain technical documentation and follow Agile development practices.
Basic Qualifications:
- 5+ years of experience in Data Engineering and building enterprise data pipelines.
- 4+ years of experience with SQL, Python, and ETL/ELT development.
- 3+ years of experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
- 3+ years of experience with Spark, Databricks, Snowflake, Hadoop, or other big data technologies.
Nice to Have:
- Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
- Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
- Experience with data warehouse solutions such as Snowflake, Redshift, BigQuery, or Synapse Analytics.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with version control (Git) and CI/CD pipelines.
- Understanding of data governance, data quality, and metadata management.
- Experience working in Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
- AWS Certified Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks certification is preferred.
Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Tech Consultant - Data Engineer employer: NTT DATA, Inc.
NTT DATA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the financial services sector. With a strong commitment to employee growth, we provide extensive training and development opportunities, ensuring our team members thrive in their careers while working on impactful projects in the heart of London. Join us to be part of a forward-thinking organisation that values diversity and promotes a supportive environment for all employees.
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We think this is how you could land Tech Consultant - Data Engineer
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We think you need these skills to ace Tech Consultant - Data Engineer
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT DATA, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
