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Für Festanstellung und freiberuflich, Director

    Java/Python Developer - Oslo/Drammen

    Norway, Oslo

    • Negotiable
    • Developer Stelle
    • Fähigkeiten: Java, Python, Developer, Software Engineer
    • Seniority: Mid-level

    Jobbeschreibung

    About the company:

    We are working with a major Norwegian IT Consultancy's Oslo/Drammen offices. The successful candidate will join a small, vibrant team and engage in projects across the energy sector and beyond.

    Benefit from the agility and independence of a small team, with the reliability and financial support of a large-scale organization. It's consultancy without the red tape!

    With a focus on consultant-first principles and an impressive roster of clients and projects, this consultancy presents an enticing career opportunity for developers in search of fresh challenges.

    The Role:

    * Design, code, test and debug software applications in Java and Python
    * Define, design and implement new features among cross-functional teams through the organization
    * Live and breathe the project life-cycle - from early concept stage all the way to deployment
    * Troubleshoot and resolve problems
    * Keep up with emerging technologies and how to deploy them

    The Person:

    * 3+ years experience with Java and Python
    * Proficiency with SQL Server
    * A desire to work on high-impact, primary sector projects in a small team
    * Front end experience with React would be beneficial
    * Not essential but helpful: knowledge of Digital Transformation processes
    * Strong interpersonal skills
    * A love of learning

    The Reward:

    * Competitive salary
    * Guaranteed profit sharing and bonus opportunities
    * Enhanced insurances and benefits
    * Flexible working hours and remote work options
    * Opportunities for professional development and growth, with certifications paid for
    * Exciting and challenging projects with leading clients in various industries



    For more information, apply below or contact Rob Jones at r.jones@jeffersonfrank.com!

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    Sr Data Engineer - Houston

    USA, Texas, Houston

    • $170,000 to $180,000 USD
    • Engineer Stelle
    • Fähigkeiten: ETL, Python, Snowflake, SQL
    • Seniority: Senior

    Jobbeschreibung

    Our TOP CLIENT has retained us for a Sr Data Engineer role. They are known and highly recognized for their stability and commitment to a collaborative teamwork environment. Our client is building a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform. Overall, this position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data from data architecture design to on-going data management and will have significant exposure to our Risk and commercial investing teams globally.



    REQUIRED:

    Must be onsite 3 days a week in the Houston, TX area

    Extensive work experience with ETL/ELT frameworks to write pipelines.

    Advanced skills in writing highly optimized SQL code.

    Experience with Snowflake.



    TOP RESPONSIBILITIES:

    Execute data architecture and data management projects for both new and existing data sources.

    Help transition existing data sets, databases, and code to a new technology stack.

    Over time, lead analysis of data sets using a variety of techniques including machine learning.

    Manage end to end data ingestion process and publishing to investing teams.

    Own the process of mapping, standardizing, and normalizing data.

    Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.

    Help transition existing data sets, databases, and code to a new technology stack.

    Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.

    Actively manage vendors and capture changes in data input proactively.

    Properly prioritize and resolve data issues based on business usage.

    Assist with managing strategic initiatives around big data projects for the commercial (trading) business.

    Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.

    Assess gaps in current datasets and remediate.



    PREFERRED SKILLS:

    Experience in SQL programming, data architecture, and dimension modeling.

    Interest and passion for data architecture, analytics, management, and programming.

    Experience in energy commodities or financial services required.

    Experience in mapping, standardizing, and normalizing data.

    Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.

    Extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records.

    Advanced skills in writing highly optimized SQL code.

    Experience with relational databases Snowflake or Oracle is preferred.

    Python work experience with Pandas, Numpy and Scikit

    Ability to communicate and interact with a wide range of data users - from very technical to non-technical.

    Team player who is execution focused, with the able to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.

    Strong analytics skills with demonstrated attention to details.

    Familiarity with Business intelligence tools Power BI and Tableau.

    Interest or experience in machine learning/Artificial Intelligence is a plus.



    BENEFITS:

    Competitive comprehensive medical, dental, retirement and life insurance benefits

    Employee assistance & wellness programs

    Parental and family leave policies

    CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

    Charitable contribution match program

    Tuition assistance & reimbursement

    Quarterly Innovation & Collaboration Awards

    Employee discount program, including access to fitness facilities

    Competitive paid time off

    Continued learning opportunities



    Reach out to me directly if interested:

    E: s.murray@jeffersonfrank.com

    Mid - Senior Data Engineer - Financial Services

    Norway, Oslo

    • NOK 900,000 to NOK 1,100,000 NOK
    • Engineer Stelle
    • Fähigkeiten: Data Engineering, DBT, TimeXtender, Qlik
    • Seniority: Mid-level

    Jobbeschreibung

    Data Engineer

    We are looking for a Data Engineer to join a mid sized financial solutions provider in Oslo.

    There organisation is partnered up with all the municipalities across Norway, along with many other businesses, that provide many services to promote sustainable growth and "green initiatives" to support Norwegian society.

    Their ambition is to be a data-driven organisation. In order to be able to deliver on this strategy, they will further develop their data platform for analysis and reporting. There areas of focus are within borrowing, treasury and lending side as the main sources.

    You will work directly with their product which is an open platform for gathering & analysing data to increase knowledge for the wider business as with an open flat structure, innovation is encouraged as you integrate with technology and business.

    Their platform is still in the early stages, so you will be able to contribute to something new from the start, and take ownership of various aspects.

    Your tasks can include:

    Building data transformations and data pipelines and contributing to the overall enhancement of its data platform

    Integrating data from different sources

    Automating processes

    Ensuring data quality

    We are looking for you to bring:

    Academic background in an engineering or computer science related subject

    3+ years experience in a data engineering position

    Experience using data platforms to build data products

    Competency with SQL & Python

    Experience working in a cloud environment (preferably Microsoft)

    Experience will tools such as Qlikview DBT, ETL

    What's in it for you?

    You will be part of a small but highly skilled working environment with your colleagues across engineering, data, product, and management

    Opportunities to work with new and modern technologies - we encourage exploring new tools and are always open to suggestions for improvement

    We value personal & professional development with opportunities learn new tools, methods, and soft skills - whether you see yourself as a future tech/team lead, architect, or even taking a step into an entirely new field!

    The value you create will directly impact Norwegian society and projects surrounding the local community.

    Sr. Data Engineer

    USA, Texas, Stamford

    • Negotiable
    • Engineer Stelle
    • Fähigkeiten: SQL, Python, Snowflake, Snaplogic, Data Ingestion, ETL
    • Seniority: Senior

    Jobbeschreibung

    Overview:

    We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will possess a strong background in data architecture, management, and integration, particularly within the energy commodities or financial services sectors. This role will involve designing robust data solutions, ensuring data quality, and implementing ETL processes to support our business objectives.



    Key Responsibilities:

    * Data Architecture Development: Design, implement, and maintain scalable and reliable data architecture frameworks that support the organization's strategic goals and objectives.
    * ETL/ELT Design and Implementation: Architect and develop ETL and ELT processes utilizing SnapLogic and other integration tools to extract, transform, and load data from various sources into centralized data stores.
    * Data Modeling: Collaborate with business stakeholders to create comprehensive data models, optimizing logical and physical data design and ensuring alignment with business requirements.
    * Data Management and Governance: Establish and enforce data management best practices, including data governance frameworks to ensure data accuracy, consistency, and availability across the organization.
    * Quality Assurance: Conduct comprehensive data quality assessments and audits, identifying and resolving data issues to maintain high standards of data integrity.
    * Data Integration: Facilitate seamless data integration across various systems and platforms by developing and maintaining data ingestion pipelines that support real-time and batch processing.
    * Collaboration with Teams: Work closely with data scientists, business analysts, and software engineers to understand data needs and provide suitable data solutions and architecture for analytics and reporting.
    * Cloud Database Management: Manage relational and non-relational databases using Snowflake and Oracle, including performance tuning, optimization, and effective indexing strategies.
    * Data Analysis and Visualization: Utilize Python and business intelligence tools (Power BI, Tableau) to analyze complex datasets and create meaningful visualizations and reports that facilitate data-driven decision-making.
    * Machine Learning Implementation: Collaborate with machine learning practitioners to implement machine learning solutions, ensuring the proper infrastructure and data pipelines are in place to support model development and deployment.
    * Training and Knowledge Transfer: Mentor and train junior staff, providing knowledge transfer on data architecture and engineering best practices, tools, and technologies.
    * Vendor Management: Evaluate, select, and manage relationships with vendors and technology partners to integrate new data tools and solutions, staying abreast of vendor trends that impact data strategies.
    * Research and Innovation: Stay current with emerging trends, technologies, and best practices in data architecture, big data analytics, and AI/ML, recommending innovative solutions that enhance the organization's data capabilities.



    Relevant Skills and Qualifications:

    * Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree preferred.
    * Proven experience in data architecture, data engineering, or a related field.
    * Proficiency in SQL, T-SQL, and data modeling techniques.
    * Experience with ETL/ELT tools, specifically SnapLogic.
    * Familiarity with cloud data warehousing solutions, particularly Snowflake or Oracle.
    * Strong programming skills in Python, with experience in data libraries such as Pandas and NumPy.
    * Familiarity with modern data integration and data pipeline architectures.
    * Knowledge of machine learning and artificial intelligence concepts and tools.
    * Experience using BI tools (Power BI, Tableau) for data visualization and reporting.
    * Excellent analytical skills with a focus on data quality and management.
    * Strong communication and interpersonal skills, with experience in vendor management.

    Data Analyst / DBA

    USA, Ohio, Cuyahoga Falls

    • $130,000 to $135,000 USD
    • Analyst Stelle
    • Fähigkeiten: Amazon Quicksight, Amazon RDS, AWS, SQL, Postgres
    • Seniority: Mid-level

    Jobbeschreibung

    Job Title: Data Analyst/ Developer

    Location: Remote (light travel)

    Salary: Competitive

    Role Overview:

    The SQL Developer will be the primary data expert on the team, taking over database responsibilities from leadership and developers. This role involves working collaboratively across different teams to provide database expertise, build reports for data visualization, and manage data imports from various external sources.

    Role Requirements:

    * 3-5 years of experience with PostgreSQL databases (admin and development)
    * Experience with Amazon RDS
    * Proficiency in PostgreSQL
    * Advanced SQL coding skills

    Responsibilities:

    * Own and manage the company's databases, taking over from other team members
    * Assist various business teams in accessing and using data effectively
    * Build reports for visualization using tools like QuickSight
    * Handle data imports from healthcare partners using formats like CSV, SQL to SQL, and EDI calls
    * Pull and manage data to fulfill user requests, primarily in the healthcare space
    * Design, configure, and manage database systems
    * Work as the sole data professional within the team, collaborating with leadership and developers

    Day-to-Day Tasks:

    * Managing and maintaining databases, ensuring high performance and accessibility
    * Supporting business operations by developing data visualizations and analytical reports
    * Collaborating with cross-functional teams to streamline data access and reporting
    * Overseeing data import processes and ensuring smooth integration with existing systems
    * Responding to and managing data-related requests and issues
    * Designing and implementing robust database structures and best practices

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