Data Engineer
WFA Digital Insight
As demand for data engineers grew 25% in 2025, professionals with expertise in cloud platforms, ETL pipelines, and data quality are in high demand. Softeta, a leading software engineering partner, stands out for its work in high-stakes sectors like finance and energy. With the rise of remote work, candidates should be prepared to showcase their ability to work independently and collaboratively in a hybrid environment. Before applying, consider the importance of staying up-to-date with the latest tools and frameworks, such as Kubernetes and Kafka, and be ready to highlight your problem-solving skills and experience with data ingestion and processing.
Job Description
About the Role
Data engineers play a crucial role in designing, implementing, and improving systems for data ingestion, processing, storage, and sharing. As a senior data engineer at Softeta, you will be working closely with clients from the banking sector to understand their data needs and deliver tailored solutions. Your expertise will be instrumental in building and optimizing data architectures for performance, scalability, and reliability.The role entails collaborating with analysts, software engineers, and business stakeholders to identify areas for improvement and implement data-driven solutions. You will be working in a fast-paced environment where accuracy, speed, and reliability are non-negotiable. Your ability to work independently and as part of a team will be essential in driving initiatives and delivering high-quality results.
Softeta's commitment to innovation and customer satisfaction means that you will have the opportunity to work on diverse and technically challenging projects. With a flexible working hours and a hybrid or remote workplace model, you will be able to choose the environment that best suits your needs.
What You Will Do
- Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
- Build and optimize data architectures for performance, scalability, and reliability
- Develop and maintain ETL/ELT pipelines using modern tools and frameworks
- Ensure seamless integration and synchronization across systems
- Uphold high standards of data quality, security, availability, and performance
- Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
- Perform code reviews, troubleshoot software, and fix defects
- Implement monitoring and alerting for data workflows
- Gain expertise in a variety of banking processes and products
- Stay up-to-date with the latest tools and frameworks, such as Kubernetes and Kafka
What We Are Looking For
- 3-5+ years of experience in a data engineer position or a similar role
- Proven experience with SQL and Python
- Experience with both SQL and NoSQL databases
- Hands-on experience with cloud platforms (AWS or Azure or GCP)
- Experience with container orchestration tools (Kubernetes, Docker)
- Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
- Familiarity with data pipeline tools like Airflow or dbt
- Experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
- Knowledge of solution integrations (real-time, message-based, event-driven)
- Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
Nice to Have
- Experience in the financial industry
- Knowledge of banking processes and products
- Familiarity with agile development methodologies
- Certification in data engineering or a related field
Benefits and Perks
- Diverse and technically challenging projects
- Flexible working hours and a hybrid or remote workplace model
- Flexible schedule and an Agile/SCRUM environment
- Technical equipment that you can choose
- Opportunity to work with a variety of banking processes and products
- Collaborative and dynamic work environment
- Professional development opportunities
- Access to the latest tools and technologies
How to Stand Out
- Tip: Make sure to highlight your experience with cloud platforms, ETL pipelines, and data quality in your resume and cover letter.
- Tip: Be prepared to showcase your problem-solving skills and ability to work independently and collaboratively in a hybrid environment.
- Tip: Familiarize yourself with the latest tools and frameworks, such as Kubernetes and Kafka, and be ready to discuss your experience with them.
- Tip: Emphasize your understanding of data pipeline tools like Airflow or dbt, and your experience with data warehousing solutions like Snowflake or BigQuery.
- Tip: Be prepared to discuss your experience with test automation and DevOps practices, including infrastructure as code and security best practices.
- Tip: Show enthusiasm for working in a fast-paced environment where accuracy, speed, and reliability are non-negotiable, and highlight your ability to work well under pressure.
- Tip: Don't hesitate to ask about the company culture, team dynamics, and opportunities for professional growth during the interview process.
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