Senior Data Engineer at Ciklum

İzmir, Aegean Region, Turkey -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Data Analytics, Data Modeling, DAX, Power Query, SQL, Azure SQL DB, MSSQL, ETL, Azure Data Factory, Azure Synapse Analytics, Data Warehousing, Data Quality Testing, Software Engineering Best Practices, Unit Testing, Code Reviews

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in Pakistan. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Ciklum is developing the web solution - TAX platform built to enhance and unify the process of providing Tax and Financial Services. Ciklum team (47 FTE) is a part of the big program (300+ FTE). We are developing an innovative automation platform for the client. It is a globally-operating, complex system that is built to enhance and unify the process of collecting, processing and providing Tax and Financial services. The client employees and external users are actively using the platform on a daily basis and the team continues to add new features that automate the business flows. Responsibilities: Designing, developing, and deploying Power BI solutions, providing advanced data analytics, and creating dashboards and reports that deliver key insights to the business Data models design and implementation Optimize reports and dashboards for better performance by improving query speed and ensuring efficient data model design Contributes design, code, configurations, manage data ingestion, closed to real-time processing, batch processing, ETL across multiple data storages Responsible for performance tuning of complicated SQL and DAX queries Identify gaps and improve the platform’s quality, robustness, maintainability, and speed Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute in the Unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: 3+ years of experience in developing BI solutions with Power BI Proficient in Power BI Desktop and Power BI Service, including report and dashboard creation, data transformations, and DAX formulas Strong expertise in DAX (Data Analysis Expressions) for complex calculations Experience with Power Query for data transformations and ETL processes Solid understanding of data modeling principles and best practices 3+ years of experience coding in SQL(Azure SQL DB or MSSQL preferable), solid CS fundamentals including data structure and algorithm design 2+ years contributing to production deployments of large backend data processing and analysis systems Experience in data integration and ETL processes Proficient with Azure Data Services (Azure Data Factory, Azure Synapse Analytics, etc.) Strong problem-solving and analytical skills, with a keen attention to detail Knowledge of professional software engineering best practices for the full software Knowledge of Data Warehousing, design, implementation and optimization Knowledge of Data Quality testing, automation and results visualization Knowledge of the development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects Demonstrated ability to learn new technologies quickly and independently What`s in it for you? Care: your mental and physical health is our priority. We offer competitive benefits package that includes but is not limited to comprehensive medical coverage, life-insurance, gym membership, fuel, internet and mobile allowances and provident fund Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: Own your schedule – you are the one to decide when to start your working day. Just don’t miss your regular team stand-up Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. With over 14 years of presence in Islamabad, our Pakistan team is a trusted force in redefining industries. We value every voice and invite experienced professionals to help shape tomorrow’s digital experiences. Want to learn more about us? Follow us on Instagram, Facebook, LinkedIn. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Responsibilities

The Senior Data Engineer will be responsible for designing, developing, and deploying Power BI solutions, creating advanced data analytics, dashboards, and reports to deliver key business insights. This includes designing and implementing data models, optimizing performance, managing data ingestion, and handling batch and near real-time processing across multiple data storages.