Senior Data Engineer at Ciklum

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Python, PySpark, Power BI Desktop, Power BI Service, DAX, Power Query, SQL, Azure SQL DB, MSSQL, Azure Data Services, Azure Data Factory, Azure Synapse Analytics, ETL, Data Modeling, Data Ingestion

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in Bulgaria. 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. The Service Delivery Transformation (SDT) Project seeks to evaluate existing technology across the tax lifecycle and determine the best future state for that technology. This will include decomposing existing assets to determine functionality, assessment of those functionalities to determine the appropriate end-state and building of new technologies to replace that functionality. The goal of the SDT project is to create an integrated enterprise perspective for the deployment of new technologies throughout the project duration. The assessment of SDT assets will be arranged by process in the Horizontal Tax Lifecycle including Initiate, Manage and Close; Collect Data; Calculate Taxable Income; Allocations; Print K1s; Focused Experience; Extract; Prep Return and Reviews; Close and Core. 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, close 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 building and scaling data engineering solutions with Databricks Strong proficiency in Python and PySpark for large-scale data processing and transformation 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 Databricks, Azure Data Factory, Azure Synapse Analytics, etc.) Strong problem-solving and analytical skills, with a keen attention to detail Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner Experience in working with cross-functional teams and collaborating with stakeholders at various levels of the organization 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 What`s in it for you? Regular salary reviews based on performance Corporate events: webinars, offline parties, and meetups Internal Mobility Program Tailored education path (including full access to Udemy, certifications, etc.) 25 paid days off: 20 business days of vacation per calendar year + 5 undocumented sick leave days Additional health insurance 100% company-covered Multisport card, with discounts available for family members 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. Since expanding to Bulgaria in 2022, we’ve been building a fast-growing team that thrives on learning, collaboration, and innovation. Join us on this exciting journey and help shape the future of our delivery center. 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, providing advanced data analytics, and creating reports that deliver key business insights. This role involves contributing to design, code, configurations, managing data ingestion, processing, and ETL across multiple data storages.