Jobs Data & Analytics

We’re looking for a Data Engineer to improve our data infrastructure and integration workflows.

This role is a great fit for someone who can quickly step into an existing environment, bring strong technical expertise, and help us build reliable, scalable solutions with a practical hands-on approach.

What you’ll do:

• Design and build data templates for integration workflows
• Optimize and improve existing data pipelines
• Ensure smooth and reliable integration across SaaS systems
• Work closely with the team to improve performance, stability, and maintainability of data flows

What we’re looking for:

• Commercial experience as a Data Engineer
• Hands-on experience with Azure
• Knowledge of Snowflake
• Python skills for data engineering tasks
• Experience working with SaaS products and integrations
• Understanding of building efficient, scalable, and maintainable data pipelines

Would be a plus:

• Experience with ETL / ELT
• Experience with cloud-based data platforms and modern data stack
• Ability to work independently and move fast in a short-term project setup

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is... Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Power BI Engineer.

About the client:

Founded in the Netherlands over 180 years ago, the customer is a global leader in information services and expert solutions for professionals in the health, tax and accounting, risk and compliance, finance, and legal sectors. As of 2017, the company was recognized by Corporate Knights as one of the 100 most sustainable companies in the world. The company currently operates in over 150 countries.
 

Requirements:

• 4+ years of hands-on experience with Power BI, including creating and optimizing dashboards, reports, and data visualizations that effectively communicate insights to stakeholders;
• Skills in Excel for data manipulation, advanced functions (e.g., pivot tables, VLOOKUP, INDEX-MATCH), and integration with Power BI for seamless data sourcing and transformation;
• Practice using Microsoft Forms to collect data and connect responses to Power BI for real-time feedback and insights from end-users;
• Familiarity with connecting Power BI to Azure data sources (e.g., Azure SQL Database, Azure Data Lake) and managing data flows to pull in data securely and efficiently;
• Competency in integrating Power BI with AWS data sources (e.g., Amazon RDS, Redshift) using direct connections or APIs to provide a unified data view across platforms;
• Proficiency in data modeling, including knowledge of DAX for creating calculated measures, KPIs, and handling complex business logic within Power BI;
• Experience with data extraction, transformation, and loading (ETL) processes, utilizing Power Query and Power BI’s data transformation tools to prepare data for reporting;
• Сommunication skills to work with business units to understand requirements, provide insights, and develop solutions that meet both technical and business needs;
• Knowledge of best practices for data security, privacy, and compliance, especially when working with sensitive data across AWS and Azure environments;
• Ability to design, implement, and manage workflows using Power Automate to automate data processes, alert systems, and report distribution, enhancing productivity and efficiency.
   

Responsibilities:

• Design, develop, deploy, and maintain Power BI report solutions;
• Сreate new Power BI dashboards;
• Сreate dashboards for mobile view;
• Write and execute queries upon request for data;
• Test products for accuracy prior to deployment;
• Continuously improve performance and reliability of reports;
• Recommend additional options for reporting and analytics.

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Architect.

Must-Have Skills

• Data Architecture (8+ years, 3+ as architect)
• Enterprise data architecture — conceptual, logical, physical modeling
• Lakehouse architecture patterns — medallion architecture, data mesh principles
• Hybrid data architecture — on-prem ↔ cloud data movement, consistency, governance
• Data modeling — dimensional modeling, Data Vault 2.0, or similar for analytical workloads

• Cloudera / Hadoop Ecosystem (Critical)
• Cloudera Data Platform (CDP) — architecture, administration, security
• Apache Hive / Iceberg — table formats, partitioning strategies, compaction
• Apache Spark on Cloudera — performance tuning, resource management
• HDFS / Ozone — storage architecture, replication, tiering
• Apache Ranger / Knox — security, access control, audit
• Query & Analytics Layer
• Starburst / Trino — federated query architecture, connector management, caching strategies
• Tableau — data source architecture, extract vs. live connections, semantic layer design
• SQL optimization for analytical workloads — join strategies, materialized views, caching
• Streaming & Integration
• Apache Kafka — topic design, schema registry (Avro/Protobuf), exactly-once semantics
• CDC (Change Data Capture) patterns — Debezium, Kafka Connect
• ETL/ELT pipeline design — batch and streaming patterns
• Apache Airflow — DAG design for complex data pipelines
• Governance & Quality
• Informatica — data catalog, data quality, metadata management
• Data governance frameworks — data ownership, stewardship, lineage
• ABAC implementation for data access (attribute-based access control)
• Data quality metrics and monitoring
• Business glossary management

• Cloud Data Architecture (AWS)
• S3 — data lake storage patterns, lifecycle policies, storage classes
• AWS Glue — catalog, ETL jobs
• Lake Formation — fine-grained access control
• Hybrid integration — AWS Direct Connect, data replication strategies
   

Nice-to-Have

• Telco data models (CDR, network events, subscriber data, billing)
• Experience migrating from traditional Hadoop to modern lakehouse
• Data Mesh implementation experience
• Cost optimization for large-scale data platforms
• DAMA-DMBOK or equivalent data management certifications
   

Engagement Model

• Full-time staff augmentation (embedded in team)
• Business trips to Baku every 2 month
• Must overlap with Baku working hours (GMT+4)
• English fluency required

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Engineer.
 

Project Description:

It is a real-time data processing and analytics solution for a high-traffic web application. 
Tech stack.
AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, OpenSearch, Python, SQL, CI/CD, dbt, Snowflake

 Responsibilities:

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implemente AWS Lambda for serverless data processing, reducing operational costs;
• Configured AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for NoSQL requirements;
• Ensured data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Developed and deployed data pipelines using AWS Glue for ETL processes;
• Wrote Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and CodeBuild;
• Monitored system performance and data quality using AWS CloudWatch and custom logging solutions;
• Collaborated with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS OpenSearch by AWS Glue
• Upper-Intermediate or higher English level.

About the Role
 

Company domain - automotive industry.
We are looking for Data Engineers to join a managed service team delivering modern data products.
 

The role is focused on hands-on implementation under defined standards and senior guidance. You will contribute to building data products, ensuring quality and compliance with established frameworks.
 

Responsibilities
 

• Implement pipelines and data transformations
• Build analytical and source-aligned data products
• Follow established standards (data contracts, modeling patterns, testing strategies)
• Work in cross-functional domain teams
• Participate in pair-programming and knowledge transfer
• Support monitoring and operational excellence of delivered data products
   

Required Technical Stack
 

Mandatory experience with:
 

• AWS
• Azure
• Snowflake
• dbt
• Witboost
• Dreamio
• Modern ELT/ETL practices
• CI/CD in data environments
• Automated testing for data pipelines
   

Required Experience
 

• 1–3 years in Data Engineering
• Previous assignments delivering pipelines and data products
• Familiarity with Data Mesh
• Basic understanding of DataOps
• Understanding of governance, lineage, SLAs
• Comfortable working in Agile cross-functional teams

We are looking for an experienced Data Engineer to leverage their skillset in a fast-paced financial trading environment. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure across GCP , and Oracle-based systems, ensuring high-performance data flows that support trading, risk, and compliance functions. This role requires a deep understanding of cloud architecture, large-scale data processing, and a strong grasp of agile delivery practices.
 

About the client
 

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.
 

What You Will Do
 

● Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
 

● Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
 

● Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
 

● Optimise and monitor performance of data systems to support latency-sensitive trading applications
 

● Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
 

● Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
 

● Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)
 

What you will bring
 

● Strong experience with Google Cloud Platform (GCP) e.g. BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
 

● Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
 

● Proficiency in programming languages such as Python, Java, or Scala
 

● Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
 

● Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
 

● Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
 

● Familiarity with Agile development practices (Scrum, Kanban, Jira)
 

● Exposure to financial markets, trading systems, or related high-performance environments is a strong plus
 

Nice to have
 

● GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
 

● Experience with Amazon Web Services (AWS)
 

● Knowledge of regulatory reporting, market data, or trade surveillance systems
 

● Experience with Apache Airflow, DBT, or similar orchestration tools
 

● Understanding of data security practices and compliance frameworks

At A-Players, we are looking for a BI Analyst to join our data team and help transform complex data into clear, actionable insights used for real business decisions.

In this role, you will work with Tableau, BigQuery, and marketing performance data to design and maintain dashboards that support decision-making across product, marketing, and growth teams. You will work closely with analysts and stakeholders to ensure data quality, validate data sources, and deliver reliable reporting used across the business.

This role combines data analysis, data validation, and BI development, making it ideal for someone who enjoys working with data end-to-end - from preparing datasets to building intuitive dashboards.

If you are passionate about data and enjoy building reporting that drives real business decisions, we’d love to hear from you!
 

Responsibilities

• Work with marketing data: attribution, unit economics, and advertising channel performance
• Collaborate with the marketing team, product managers, and data analysts
• Ensure data quality and consistency in reporting
• Validate and prepare data for reporting, including working with raw data sources
• Develop and maintain dashboards and reports in Tableau
• Write and optimize SQL queries in BigQuery
   

What We Look For

• 2+ years of experience as a  BI Analyst / BI Developer / Analytics Engineer
• Experience working with web-based products and performance marketing data
• Experience working with raw and semi-processed data, including data validation and cleanup
• Experience building dashboards for business users
• Experience working with advertising platforms (Facebook Ads, Google Ads), including extracting data from ad accounts and understanding key metrics
• SQL (Advanced): window functions, CTEs, query optimization
• BigQuery: experience working with large datasets, understanding of cost optimization and partitioning
• Tableau: strong hands-on experience building interactive dashboards, calculated fields, and LOD expressions
• Git/GitHub: code versioning, pull requests, code reviews
• Basic understanding of ETL/ELT (AirFlow) processes

Nice to have:

• Understanding of marketing attribution fundamentals
• Experience working with PSP data (Stripe, PayPal)
• Experience working with advertising platform APIs (Facebook Marketing API, Google Ads API)
• Airflow: writing and maintaining DAGs
• Python (basic level for scripting and automation)
• dbt

We Offer

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Additional medical insurance
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client and role:
We are looking for a Computer Vision/3D Vision Engineer for our client, who is the creator of the world’s leading patented mobile body scanning technology, driving retail innovation by providing personalized fit and size recommendations and virtual try-on solutions for shoppers. The company helps brands reduce returns while simultaneously increasing conversion rates and average order value (AOV).

Responsibilities:
- Design, train, and deploy computer vision systems from initial dataset preparation to production-ready models.
- Solve complex problems in object detection, segmentation, and pose estimation using custom-built solutions.
- Develop and optimize pipelines for 3D reconstruction, depth estimation, and point cloud processing.
- Evaluate and debug model performance, ensuring high accuracy and technical depth in every solution.
- Manage dataset annotation, curation, and model evaluation metrics to ensure robust performance.

Requirements:
- Hands-on experience with object detection, segmentation, tracking, and camera calibration. You should have a deep understanding of image geometry.
- Proficiency in at least one of the following: 3D reconstruction, Multi-view geometry, Photogrammetry, NeRF/Neural rendering, or SLAM.
- Expert-level knowledge of Python and frameworks like PyTorch or TensorFlow.
- Proven ability to build and explain a CV system end-to-end, including architecture choice and deployment logic.
- Critical thinking and the ability to understand why a model works (or doesn't), with a focus on experimentation and debugging.

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- Autonomously architect, prototype, & build the product from the ground up.

- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs).

- Leverage your prompt engineering skills to maximize the outcome.

- Horizontally work with founders in discussions on business & product topics.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- Database design and optimization (SQL).
- Development in cloud infrastructure (AWS/GCP/Azure).
- Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
- Experience with n8n/make will be a great plus.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

We are seeking a seasoned Business Analyst to join a high-priority Regulatory Reporting initiative for a premier enterprise banking client. This is a strategic consulting role for a mature professional capable of navigating the intersection of business logic, complex data structures, and rigorous reporting standards.

In this role, you will be the bridge between regulatory demands and technical execution, ensuring that our client meets its obligations for AnaCredit, COREP, FINREP, LCR, and local Baltic reporting requirements.

Core Responsibilities

As a lead consultant on this project, you will:

• Drive Requirements Engineering: Elicit and document functional, non-functional, and data requirements for large-scale reporting initiatives.
• Bridge Business & Tech: Translate complex regulatory mandates into actionable technical specifications for development and testing teams.
• Data Analysis & Mapping: Analyze datasets to define validation logic, sourcing rules, and data quality standards.
• Stakeholder Orchestration: Facilitate alignment between Data Stewards, Dev Ops, and Business Delivery teams to ensure seamless end-to-end reporting.
• Strategic Oversight: Maintain an overarching view of the data domain to ensure consistency across reporting outputs and supervisory expectations.

Candidate Profile (Must-Haves)

Experience & Expertise:

• Analytic Foundation: 3+ years in Finance, BI, or IT, with at least 2 years focused specifically on Business Analysis and process modeling.
• Regulatory Domain Knowledge: Deep understanding of banking products and hands-on experience in one or more of the following: AnaCredit, COREP, FINREP, LCR, or local Baltic regulatory frameworks.
• Data Literacy: 2+ years working with data-centric projects (Data Warehouse concepts, data mapping, and technical metadata).
• Technical Toolkit: Proficiency in SQL for data interrogation, plus expert use of Jira, Confluence, and MS Office.

Soft Skills & Education:

• Analytical Mindset: Ability to distill complex datasets into clear, structured insights.
• Communication: Fluent English (written/verbal) with the ability to "challenge" requirements and advocate for quality.
• Education: Bachelor’s or Master’s degree in Finance, Economics, Mathematics, IT, or Risk Management.

Hello!

If technical process organization is your strong side, we should talk ;)

The group of companies MK:group, consisting of the translation company MK:translations and the business localization company Localica.io, is actively integrating AI and LLM technologies into the production of language services to scale the quality, speed, and efficiency of translation and to expand the range of services.

In this regard, we are opening a full-time position for an LLM & AI Engineer who will help build and improve the AI infrastructure for the next generation of localization solutions.

Key Responsibilities

• Research and implement AI/LLM solutions to automate translation and localization processes

• Deploy and optimize open-source LLM and NLP models

• Fine-tune models for specific language pairs, domains, and content types

• Develop AI pipelines for translation, post-editing, and quality evaluation

• Build systems based on LLMs, RAG, and embedding models for working with multilingual content

• Experiment with new open-source AI tools and adapt them to business needs

We are looking for a candidate with

• Experience working with Python and AI/ML tools

• Understanding of LLM architectures, NLP, or machine translation

• Experience working with open-source models (Llama, Mistral, etc.)

• Experience with GPU, inference, and model deployment

• Skills working with vector databases / embeddings / RAG – will be an advantage

• Experience working with Microsoft 365 Copilot / Copilot

• Ability to independently research new technologies and quickly prototype solutions

+++ Will be a plus if you have

• Experience with machine translation or localization tools

• Experience with Hugging Face, LangChain, LlamaIndex

• Experience with model fine-tuning or working with LoRA/PEFT

• Experience with multilingual or cross-lingual NLP

We offer

• Flexible working hours

• Work with modern AI technologies in the language technology field

• Opportunity to build AI solutions from scratch in a production environment

• Work in a stable but dynamic company with international clients

• The opportunity to influence the creation of a new generation of localization products

This role requires at least 2 years of experience with GenAI, not experimental use.

We are looking for a Middle/Senior BI Developer (SQL Server + Power BI) to join an internal analytics project for a US-based insurance company. 

The role focuses on building and improving the existing BI platform, working with SQL-based data marts and Power BI dashboards used by company management.

The project is an internal analytics and BI platform for management reporting.
Data sources are stored in Microsoft SQL Server (data mart), while reporting and visualization are built in Power BI.

The platform is already in production but requires significant improvements in data transformations, ETL logic, and dashboard development, which will be the main focus during the first months.

Engagement type: Freelancer
Allocation: Full-time for the first 2–3 months (high workload at the start). Possible transition to part-time / ad-hoc afterward

Location: Remote
Client location: USA 

Hiring Process:
HR interview
Technical interview / practical skills assessment
Final interview with the client

Tech Stack:

• Microsoft SQL Server
• Advanced T-SQL
• SQL views & analytical tables
• SQL Server → SQL Server data integrations
• Data mart architecture
• Power BI Desktop / Power BI Service
• Semantic data modeling
• DAX
• BI dashboards & reporting

Responsibilities:

• Fix missing data transformations and resolve data inconsistencies
• Develop and optimize ETL / SQL logic for single-source analytical tables
• Design and maintain Power BI data models (semantic modeling, DAX)
• Create and support Power BI dashboards and visualizations following existing design templates and mobile standards
• Optimize SQL performance and data structures for reporting
• Collaborate with the client’s main point of contact to translate business requirements into BI metrics and dashboards

Requirements

• 3–5+ years of experience with Microsoft SQL Server
• Strong T-SQL skills (query optimization, analytical tables, views)
• Experience with Power BI development (data modeling, DAX, dashboards)
• Experience working with SQL-based data marts
• Ability to structure and prepare data for BI reporting

• Upper-Intermediate English (communication with the client)

   

  Nice to Have

• Experience designing BI architecture improvements
• Ability to propose new solutions, approaches, and optimizations

About the Role 

We're looking for an experienced Database Administrator to join our team and bring depth to our cloud database operations. You'll own the administration and maintenance of production and pre-production database environments running on Azure SQL Managed Instance, with real opportunities to expand your skill set into DevOps pipelines, release management, and infrastructure automation. 

About the Project
Our client operates community and specialty hospitals, a managed care organization, a physician network, community health centers, and home care and other health-related entities in the United States. The Research Portal — one of the internal products — is a web-based application with over 10,000 current users developed for the entire research community to review, monitor, and manage research portfolio. The main goal is to unite distributed and complex organizational processes into one application and help alleviate administrative burdens. 

Responsibilities:  

• Serve as the go-to expert for Azure SQL Managed Instance and Azure Data Factory across all production and pre-production environments, keeping things running smoothly and jumping in when they don't. 
• Provide Tier 2/3 troubleshooting support, diagnosing and resolving database and application issues in real time so the team and end users aren't left waiting. 
• Own query optimization and index tuning/maintenance to keep database performance tight, including proactive analysis to catch problems before they become incidents. 
• Manage and maintain high-availability configurations including Log Shipping, Always-On Availability Groups, and Backup/Restore with Point-in-Time Recovery (PITR). 
• Design and maintain ADF pipelines for ETL data integration, working toward modern, cloud-first patterns and phasing out legacy SSIS where possible. 
• Grow into adjacent areas like Azure DevOps pipeline management, release management, and repo management — this role has room to expand well beyond traditional DBA work. 
• Research and evaluate new technologies and approaches for building highly available data persistence systems, and bring those ideas back to the team. 

Skills & Experience: 

• Azure SQL Managed Instance Expertise: Strong understanding of the specifics, advantages, and operational differences between Azure SQL Managed Instance and standard SQL Server, including provisioning, management, and securing SQL MI environments. 
• Azure Data Factory Proficiency: Advanced experience designing and implementing ETL processes with Azure Data Factory, prioritizing ADF over traditional SSIS for data integration tasks. 
• In-Depth Knowledge of SQL and Database Concepts: Demonstrated excellence in MS SQL Server, relational database concepts, and expert-level proficiency in T-SQL. Experience with SQL Server 2016 and 2019 is mandatory; knowledge of SQL Server 2022 is preferred. This includes a strong foundation in database design, development, and maintenance. 
• SSIS Expertise: Hands-on experience with SQL Server Integration Services, including a deep understanding of its capabilities and practical application in ETL processes within data integration workflows. 
• Familiarity with Azure DevOps Tools: Working knowledge of Azure Pipelines and Azure DevOps Releases, including how builds and deployments are orchestrated across environments. You don't need to be building pipelines from scratch here, but you should be comfortable navigating and understanding them. 
• General Azure Application Resources Knowledge: Understanding of provisioning, managing, and securing Azure application resources, with a focus on best practices for cloud-based applications. 
• Problem-Solving and Troubleshooting Skills: Strong ability to troubleshoot and resolve complex problems across database and application layers, with a methodical approach to issue resolution. 
• Experience in day-to-day communication with English speaking customers. 
• Readiness to work in the PST time zone (EET: 07:00 AM – 04:00 PM). 

Nice to have: 

• Git and Code Management: Knowledge of Git for version control and experience with code management practices to ensure clean and maintainable codebases. 
• Additional Database Optimization: Experience with Query Store, Extended Events, and in-depth understanding of query optimization, procedure tuning, and index management for performance improvements. 
• Azure DevOps Pipeline and Release Creation: Hands-on experience building and maintaining CI/CD pipelines in Azure DevOps, including application builds, pipeline security, and deployment strategies. Bonus points for experience with infrastructure as code using ARM templates or Terraform for Azure resource deployment. This goes beyond general familiarity — we're talking about actually creating and owning pipelines end to end. 
• Scripting and Automation Skills: Familiarity with PowerShell and JSON for scripting and automation tasks within Azure environments. 

Are you a Middle-level Power BI Specialist passionate about turning data into actionable insights? This is your chance to work on a high-impact logistics analytics project with one of Europe’s leading providers in the field.

We at Sigma Software are looking for a motivated, self-driven professional to join our team. This role offers a hybrid work model with flexibility to work remotely or from our offices. You will collaborate with experts in data visualization and logistics optimization, contributing to solutions that make supply chains smarter and more efficient.

Why join us? At Sigma Software, you’ll work in a supportive environment with opportunities for professional growth, access to cutting-edge technologies, and a benefits package that includes health insurance, education support, and corporate events.

CUSTOMER
Our customer is headquartered in Germany and is one of Europe’s leading logistics providers. They specialize in developing and implementing integrated supply chain systems, leveraging data to optimize logistics operations. Operating across multiple European countries, they are recognized for innovation in logistics technology and sustainability initiatives.

PROJECT
The project aims to build a new analytics dashboard solution for a logistics system while maintaining and supporting existing Power BI frontend solutions already in production. The goal is to enhance data-driven decision-making through advanced visualization and reporting tools.

RESPONSIBILITIES:

• Design, develop, and implement new analytics dashboard solutions using Power BI for logistics operations
• Maintain and enhance existing Power BI frontend solutions already in production
• Collaborate with business stakeholders to gather requirements and translate them into effective visualizations and reports
• Optimize Power BI data models for performance and scalability
• Ensure data accuracy, consistency, and integrity across dashboards and reports
• Customize Power BI templates and components to meet specific business needs
• Work with SQL datasets and integrate multiple data sources into unified dashboards

• Support and troubleshoot issues related to Power BI reports and dashboards

   

REQUIREMENTS:

• 2+ years of experience with Power BI for building dashboards and reports
• Good understanding of data structures and data analysis
• Experience working with Power BI semantic models, including relationships and data organization
• Ability to work with Power BI templates and customize reports
• Strong attention to detail and ability to translate business requirements into meaningful visualizations
• Advanced Power BI knowledge and practical experience
• Proficiency with SQL datasets
• Strong ability to create complex reports and dashboards
• Experience with DAX and Tabular Editor
• Knowledge of Star Schema for Power BI data modeling
• Strong communication and problem-solving skills

• Upper-Intermediate English level

   

WILL BE A PLUS:

• Experience with real or near real-time data processing in Power BI

   

PERSONAL PROFILE:

• Motivated, self-driven, and positive professional
• Strong communication skills
• Passionate about solving challenging tasks
• Committed to delivering high-quality analytical solutions

We are seeking an experienced CMDB Discovery Software Engineer to join our consulting team for a high-visibility initiative with a major enterprise banking client.

Following a strategic migration from ServiceNow to Jira, the client is now optimizing their configuration management landscape. You will be the technical lead focused on automating and enriching Jira Assets using Lansweeper SaaS and other enterprise data sources.

The Role

This is a remote-first consulting assignment requiring occasional quarterly travel to Riga, Tallinn, or Vilnius. You will join a lean, expert team of 4–5 specialists to build a reliable, high-integrity "Golden Record" for the client’s enterprise assets.

Core Objectives:

• Lansweeper Optimization: Mature the configuration of Lansweeper SaaS to improve discovery coverage and data quality.
• Jira Assets Mastery: Design and manage object schemas, attributes, and complex import configurations within Jira Assets (formerly Insight).
• Data Reconciliation: Build logic to merge data from Active Directory, Intune, and cloud inventories, resolving conflicts and deduplicating records.

Must-Haves

CMDB & Data Modeling (4+ Years)

• Deep expertise in enterprise CMDB environments and configuration management.
• Strong grip on CI classes, relationship mapping, lifecycle models, and ownership structures.

Jira Assets Expertise (3+ Years)

• Hands-on experience with Jira Assets (Insight): object schemas, types, and automated import configurations.

Discovery & Lansweeper (3+ Years)

• Advanced proficiency with Lansweeper SaaS.
• Proven ability to configure network scanning, credentials, and scan targets.
• Skill in reducing "false positives" and improving hardware/software inventory consistency.

Integration & Reconciliation (3+ Years)

• Experience reconciling multiple sources (e.g., AD/Azure AD, Intune, MECM, Virtualization/Cloud inventories).
• Practical knowledge of matching rules, unique keys, and "Golden Record" design.

The Bonus List

• Industry: Experience in Enterprise Banking or highly regulated sectors.
• Project History: Background in CMDB migrations (specifically ServiceNow to Jira) or post-migration stabilization.
• Automation: Experience automating CMDB enrichment or security platform integrations (e.g., QRadar).
• Consulting Mindset: Ability to balance "in-the-weeds" execution with high-level pragmatic solution design.