Talent Pool-Data

About the role

You will act as a bridge between complex business needs and robust data solutions, owning the full lifecycle of data initiatives from discovery through deployment. You will translate ambiguous requirements into clear analytical strategies, designing pathways that turn raw information into actionable insight for stakeholders. You will take responsibility for ensuring data integrity, reliability, and performance across the stack, while mentoring others on best practices in the field. You will partner closely with cross-functional teams to identify opportunities where data can drive efficiency, reduce risk, and unlock new value. You will continuously evaluate emerging tools and frameworks, selecting the right mix of technologies to solve specific problems elegantly and scalably. You will champion data governance and quality standards, embedding them into workflows so that findings can be trusted and reused over time. You will communicate results to both technical and non-technical audiences, ensuring that every stakeholder understands the what, why, and how behind the numbers. You will own your professional growth, seeking out learning opportunities that keep your skills aligned with the evolving landscape of data engineering and analytics.

Key facts

What you'll do

Analyze business processes in depth to uncover data requirements, constraints, and opportunities for optimization.

Design and implement data models, pipelines, and storage structures that support reporting, analytics, and operational needs.

Develop ETL and ELT workflows using appropriate tools, ensuring data moves efficiently, accurately, and securely between systems.

Write complex SQL queries and transformations to clean, enrich, and aggregate data for downstream consumption.

Collaborate with data scientists and analysts to prepare datasets that support advanced analytics, experimentation, and decision-making.

Establish data quality checks, monitoring routines, and documentation practices that keep information reliable and understandable.

Work with data visualization tools to create clear dashboards and reports that help stakeholders track key performance indicators.

Partner with architects to define data strategies that align with business objectives, regulatory requirements, and technical standards.

Lead investigations into data anomalies, performance issues, and integration problems, driving them to resolution with minimal disruption.

Promote automation and repeatability, reducing manual effort and freeing the team to focus on higher-value analytical work.

Evaluate new data platforms and frameworks, conducting proofs of concept to assess feasibility and impact.

Mentor junior colleagues and peers, sharing knowledge about data techniques, tools, and professional best practices.

Participate in end-to-end project delivery, coordinating with stakeholders to ensure that data solutions are delivered on time and meet expectations.

Champion data literacy across the organization, helping teams understand how to interpret and use data effectively in their work.

Requirements

You must have hands-on experience in data engineering, data analysis, business intelligence, data warehousing, or a closely related discipline.

You must be comfortable working with SQL and modern data platforms, writing queries and transformations that are correct, efficient, and maintainable.

You must understand data modeling concepts, including dimensional modeling, normalization, and the trade-offs between different approaches.

You must have a strong grasp of ETL and ELT patterns, knowing when to use batch processing, streaming, or a hybrid approach.

You must be familiar with data governance, data quality frameworks, and the role of metadata in ensuring trustworthy information.

You must know database development principles, including schema design, indexing, and query optimization techniques.

You must be able to work independently and as part of a team, communicating clearly with both technical and non-technical stakeholders.

You must be committed to continuous learning, actively keeping your skills current with new tools, technologies, and methodologies in the data space.

Nice to have

Experience with specific data platforms, visualization tools, or programming languages that are commonly used in analytics environments.

Background in regulated industries where data compliance, auditability, and security are critical.

Practical notes

Joining the Qualysoft Data Talent Pool is an opportunity to align your career with a growing community of professionals who value honesty, development, and stability. As a member of the pool, you will be among the first to know about data-related opportunities that match your expertise, allowing you to apply for roles where you are already pre-qualified. The pool is designed for data professionals at various stages of their careers, from those looking to take on new challenges to those seeking long-term engagement on diverse projects. You will work on assignments that span data engineering, analysis, business intelligence, warehousing, architecture, governance, quality, database development, ETL and ELT practices, using SQL and other essential data technologies. These projects will expose you to a wide range of domains, including financial services, telecommunications, automotive, and energy service providers, ensuring that your experience is both broad and deep.

Qualysoft provides a supportive environment where continuous learning is encouraged, and where you can contribute to innovative IT solutions that boost the competitiveness and economic efficiency of our clients. Our teams operate across six subsidiaries, collaborating on state-of-the-art solutions that adhere to the highest standards of quality and delivery. You will have the chance to work with the latest tools and frameworks, building solutions that are scalable, reliable, and maintainable. The role emphasizes ownership, clear communication, and close collaboration, ensuring that your contributions are visible and impactful.

Because the pool is built for the long term, we focus on building relationships with professionals who are serious about data and want to grow with a partner that values their development. You will be contacted directly whenever a relevant opportunity arises, allowing you to skip lengthy application processes and move quickly into discussions about scope, expectations, and fit. If you are passionate about data and want to be part of a community that supports your growth while delivering meaningful solutions to clients, this is your chance to join the Qualysoft talent community. We look forward to connecting with you, reviewing your background, and exploring how your skills can contribute to our portfolio of successful data projects.