Azure Data Consultant (m/f/d)

Posted 10 Hours Ago
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Sofia, Sofia-grad
Mid level
Information Technology • Consulting
The Role
The Azure Data Consultant will focus on delivering non-standard solutions for clients' data challenges, including database migrations, data unification, and troubleshooting. Responsibilities include aligning architecture with business needs, developing data pipelines, enhancing data reliability, and mentoring team members in best practices.
Summary Generated by Built In

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A part of global technology organization Tietoevry, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands. We value every team member and share our success through flexible working models, competitive pay and benefits, and advancement opportunities in a team of thousands of experts located around the globe.  

About the role

  

We are looking to hire an Azure Data Consultant for our Data & Analytics Center of Excellence (DCOE). In this role your primary goal will be to offer non-standard solutions and unlock the potential of our clients. Through expert-level data management and analysis, the DCOE team facilitates resource management, database migration to new engine types, data unification, and company mergers. Usage of the Azure Big data services, SQL reports optimization, data flows, and troubleshooting are other significant parts of our day-to-day responsibilities.  

Responsibilities 

  • Align architecture with business requirements 
  • Analyze, re-architect, and re-platform data warehouses 
  • Develop, construct, test, and maintain data pipelines for multiple analytics functions 
  • Identify ways to improve data reliability, efficiency, and quality 
  • Troubleshoot and resolve complex issues 
  • Prepare data for predictive and prescriptive modeling as well as for classic BI analytics 
  • Mentor and train colleagues when necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices 

Requirements 

  • 3+ years of experience in Azure Big Data services (Fabric, Synapse Analytics, Databricks, Azure Data Factory, Azure Stream Analytics, Data Lake Analytics, Azure Database, Azure Cosmos DB)  
  • 5+ years of experience in data engineering, software engineering, or other related roles 
  • 5+ years of experience with ETL, data modeling, and data architecture 
  • Strong experience in one or more of the following: SQL/ Python/ Scala 
  • Strong experience in generating data pipelines from multiple data sources in collaboration with diverse team members 
  • Experience in operating very large data warehouses or data lakes 
  • Understanding of software development best practices, including query optimization, version control, code reviews, and documentation 
  • Experience with building data pipelines and applications to stream and process large datasets at low latencies 
  • Ability and desire to learn new languages and technologies 
  • Attention to detail and strong documentation skills 
  • Fluent in English, both written and verbal 

A significant advantage would be any experience with

  • Microsoft Fabric, Synapse Analytics, Databricks 
  • ETL tools like Airflow, Talend, Matillion, Informatica, ODI, SSIS 
  • Using of Big Data technologies such as Hadoop/ Databricks/ Spark 
  • Oracle, MS SQL Server, MySQL, PostgreSQL, Snowflake 
  • Designing and implementing batch and stream data processing pipelines 
  • Certification of SQL, PL/SQL, T-SQL 
  • Azure Certification 

While some benefits may vary by employment status and location, in general, we offer 

  • Professional Growth: Clear career path, vertical and horizontal advancement opportunities  
  • Regular Salary Raises: Following the curve of your career path and performance 
  • Work Where You Want: Choose to work remotely, in-office, or a combination of the two 
  • Upskilling: Various trainings, knowledge sharing events, personal learning budget 
  • Incentive Programs: Rewards for referring employees, sharing knowledge, and more 
  • Additional Insurance: Attractive health and dental insurance packages  
  • Extra Days Off: The longer you work with us, the more paid leave you get 
  • Transport & Leisure: Partial coverage of transport costs, sports passes, takeaway food 
  • Save for the Future: Set a retirement plan or start an investment program  
  • Teambuilding: Enjoy team gatherings and communities of interest 
  • Giving to Others: Take part in various charity and volunteer activities 
  • Mental Wellness: Support with a counseling package if needed 

#LI-DNI 

At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com) 

Top Skills

Python
Scala
SQL
The Company
London
15,123 Employees
On-site Workplace

What We Do

In a rapidly changing world, technology is everything. It's in the fabric of society. In every part of every business. At the very heart of human evolution. It’s a great power that comes with great responsibility.

At Tietoevry, we believe it’s time to shift perspective. It’s not about what technology can do anymore — but what it should. So that the futures of businesses, societies, and humanity can live and thrive. Side by side.

This is why we're making it our business to create purposeful technology that reinvents the world for good.

https://www.tietoevry.com/en/

#purposefultechnology #Tietoevry

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